Outcomes
One row per source flow per list. Needs a decision is an unmatched flow with candidate substances — usually a context or unit mismatch. Needs a substance is one without: a genuinely unknown compound, already enriched before matching, so it wants a ruling rather than another pass.
| Source flow | List | Context | Unit | CAS | Outcome | Basis | Target | Candidates |
|---|---|---|---|---|---|---|---|---|
|
Water, CA-PE
751d2d2d-3434-5e01-bbc4-1046e207f9fb
|
agribalyse-3.2 | Emissions to water | m3 | 7732-18-5 | algorithm |
material
water
|
a3876d9b-a3e8-4680-861a-4e08642f1392 |
1 flow
|
|
Water, CA-QC
32ef7e66-1c45-5e71-bfae-bcbc4286fb25
|
agribalyse-3.2 | Emissions to water | m3 | 7732-18-5 | algorithm |
material
water
|
a3876d9b-a3e8-4680-861a-4e08642f1392 |
1 flow
|
|
Water, CA-QC
0df828d2-933e-5dea-b3fc-1757f3a87e68
|
agribalyse-3.2 | Emissions to water → groundwater | m3 | 7732-18-5 | algorithm |
material
water
|
4f6f34eca7021b134a2ee7660ac6b7ecd0cfa326 |
1 flow
|
|
Water, CA-QC
7c02ef67-816b-520f-8df1-1c3d24b75e16
|
agribalyse-3.2 | Emissions to water → river | m3 | 7732-18-5 | algorithm |
material
water
|
f213d8e4abd83830db89e3b9bf1ec0de3b5d00af |
1 flow
|
|
Water, CA-SK
c3d545a1-65c7-5625-b019-7f8889e00078
|
agribalyse-3.2 | Emissions to water | m3 | 7732-18-5 | algorithm |
material
water
|
a3876d9b-a3e8-4680-861a-4e08642f1392 |
1 flow
|
|
Water, CA-YK
71b94b69-f83b-547b-b41e-beab0e00bad5
|
agribalyse-3.2 | Emissions to water | m3 | 7732-18-5 | algorithm |
material
water
|
a3876d9b-a3e8-4680-861a-4e08642f1392 |
1 flow
|
|
Water
205358ac-64a7-5b62-9780-ca72d0b33234
|
agribalyse-3.2 | Emissions to water | m3 | 7732-18-5 | algorithm |
material
water
|
a3876d9b-a3e8-4680-861a-4e08642f1392 |
1 flow
|
|
Water
430dd4d0-9f04-5c56-8325-4bc46a6c4d26
|
agribalyse-3.2 | Emissions to water → groundwater | m3 | 7732-18-5 | algorithm |
material
water
|
4f6f34eca7021b134a2ee7660ac6b7ecd0cfa326 |
1 flow
|
|
Water
50cc3caf-02b0-5629-8a87-e7ab9532987f
|
agribalyse-3.2 | Emissions to water → river | m3 | 7732-18-5 | algorithm |
material
water
|
f213d8e4abd83830db89e3b9bf1ec0de3b5d00af |
1 flow
|
|
Water
739637d4-cda8-5816-b85b-1e273b78bfbb
|
agribalyse-3.2 | Emissions to water | m3 | 7732-18-5 | algorithm |
material
water
|
a3876d9b-a3e8-4680-861a-4e08642f1392 |
1 flow
|
|
Water
ed107795-cdc4-5cd5-b683-adfd98e78c44
|
agribalyse-3.2 | Emissions to water → groundwater | m3 | 7732-18-5 | algorithm |
material
water
|
4f6f34eca7021b134a2ee7660ac6b7ecd0cfa326 |
1 flow
|
|
Water
d862a1c1-5de6-5fe6-82d7-b8fde8f25272
|
agribalyse-3.2 | Emissions to water → river | m3 | 7732-18-5 | algorithm |
material
water
|
f213d8e4abd83830db89e3b9bf1ec0de3b5d00af |
1 flow
|
|
Water
c004b896-af53-5c19-bd68-756d324d6a01
|
agribalyse-3.2 | Emissions to water | m3 | 7732-18-5 | algorithm |
material
water
|
a3876d9b-a3e8-4680-861a-4e08642f1392 |
1 flow
|
|
Water
d2c6700a-a8d4-5b16-bbae-0acfa8a8f510
|
agribalyse-3.2 | Emissions to water → groundwater | m3 | 7732-18-5 | algorithm |
material
water
|
4f6f34eca7021b134a2ee7660ac6b7ecd0cfa326 |
1 flow
|
|
Water
c13772ea-c74e-5bfd-a459-03aaff9ed3b2
|
agribalyse-3.2 | Emissions to water → ocean | m3 | 7732-18-5 | algorithm |
material
water
|
631ecf13-0e51-4e35-8235-c6f80c60d72c |
1 flow
|
|
Water
54aac1b8-71eb-5efb-bd8b-1ed9d8e16011
|
agribalyse-3.2 | Emissions to water → river | m3 | 7732-18-5 | algorithm |
material
water
|
f213d8e4abd83830db89e3b9bf1ec0de3b5d00af |
1 flow
|
|
Water, CN-AH
6ba7a100-cb04-571d-a4ec-d4474ed7bf6c
|
agribalyse-3.2 | Emissions to water | m3 | 7732-18-5 | algorithm |
material
water
|
a3876d9b-a3e8-4680-861a-4e08642f1392 |
1 flow
|
|
Water, CN-BJ
9a8dc09a-a2e2-5ddb-91f8-11f79e6230b9
|
agribalyse-3.2 | Emissions to water | m3 | 7732-18-5 | algorithm |
material
water
|
a3876d9b-a3e8-4680-861a-4e08642f1392 |
1 flow
|
|
Water, CN-CQ
5d00acaf-c247-522e-9470-f91fa6bdf4d2
|
agribalyse-3.2 | Emissions to water | m3 | 7732-18-5 | algorithm |
material
water
|
a3876d9b-a3e8-4680-861a-4e08642f1392 |
1 flow
|
|
Water, CN-FJ
18c3c3d5-03cc-5578-acd8-4547e2fac3b0
|
agribalyse-3.2 | Emissions to water | m3 | 7732-18-5 | algorithm |
material
water
|
a3876d9b-a3e8-4680-861a-4e08642f1392 |
1 flow
|
|
Water, CN-GD
83eb4feb-bfaa-5ade-a823-95d9a7eada35
|
agribalyse-3.2 | Emissions to water | m3 | 7732-18-5 | algorithm |
material
water
|
a3876d9b-a3e8-4680-861a-4e08642f1392 |
1 flow
|
|
Water, CN-GS
b377e422-23e2-5e43-ad9c-949db88e0ed2
|
agribalyse-3.2 | Emissions to water | m3 | 7732-18-5 | algorithm |
material
water
|
a3876d9b-a3e8-4680-861a-4e08642f1392 |
1 flow
|
|
Water, CN-GX
03b9d64e-cf24-5db6-bbd4-89d57c58df2a
|
agribalyse-3.2 | Emissions to water | m3 | 7732-18-5 | algorithm |
material
water
|
a3876d9b-a3e8-4680-861a-4e08642f1392 |
1 flow
|
|
Water, CN-GZ
49b88dfc-2cfe-52be-8802-4881a3d9a52c
|
agribalyse-3.2 | Emissions to water | m3 | 7732-18-5 | algorithm |
material
water
|
a3876d9b-a3e8-4680-861a-4e08642f1392 |
1 flow
|
|
Water, CN-HA
17b210b8-68fc-56d2-a833-7e6b1354cfae
|
agribalyse-3.2 | Emissions to water | m3 | 7732-18-5 | algorithm |
material
water
|
a3876d9b-a3e8-4680-861a-4e08642f1392 |
1 flow
|
|
Water, CN-HB
459cae97-25c1-5934-bb82-0820f4249c5d
|
agribalyse-3.2 | Emissions to water | m3 | 7732-18-5 | algorithm |
material
water
|
a3876d9b-a3e8-4680-861a-4e08642f1392 |
1 flow
|
|
Water, CN-HE
0d261019-474c-54b9-a25d-4d2342935127
|
agribalyse-3.2 | Emissions to water | m3 | 7732-18-5 | algorithm |
material
water
|
a3876d9b-a3e8-4680-861a-4e08642f1392 |
1 flow
|
|
Water, CN-HL
20b1c83f-82a3-5c26-aeef-211d7d07d48e
|
agribalyse-3.2 | Emissions to water | m3 | 7732-18-5 | algorithm |
material
water
|
a3876d9b-a3e8-4680-861a-4e08642f1392 |
1 flow
|
|
Water, CN-HN
ae101fc0-0b0b-56d2-af6f-d789f861ef58
|
agribalyse-3.2 | Emissions to water | m3 | 7732-18-5 | algorithm |
material
water
|
a3876d9b-a3e8-4680-861a-4e08642f1392 |
1 flow
|
|
Water, CN-HU
8ce6ca68-afb3-5084-bf3a-100d0275469c
|
agribalyse-3.2 | Emissions to water | m3 | 7732-18-5 | algorithm |
material
water
|
a3876d9b-a3e8-4680-861a-4e08642f1392 |
1 flow
|
|
Water, CN-JL
6d98f37a-e683-5573-bf32-43f38acb17f8
|
agribalyse-3.2 | Emissions to water | m3 | 7732-18-5 | algorithm |
material
water
|
a3876d9b-a3e8-4680-861a-4e08642f1392 |
1 flow
|
|
Water, CN-JS
44552ce2-cff5-5258-b926-b29a0363d9a6
|
agribalyse-3.2 | Emissions to water | m3 | 7732-18-5 | algorithm |
material
water
|
a3876d9b-a3e8-4680-861a-4e08642f1392 |
1 flow
|
|
Water, CN-JX
fc3ec75f-58f8-5dc6-9864-c2b21ee3e8d7
|
agribalyse-3.2 | Emissions to water | m3 | 7732-18-5 | algorithm |
material
water
|
a3876d9b-a3e8-4680-861a-4e08642f1392 |
1 flow
|
|
Water, CN-LN
9f4b2bf3-d8ae-5937-b0fb-285cb34ae6dd
|
agribalyse-3.2 | Emissions to water | m3 | 7732-18-5 | algorithm |
material
water
|
a3876d9b-a3e8-4680-861a-4e08642f1392 |
1 flow
|
|
Water, CN-NM
ab2b8c32-cfd4-5106-8fe5-15f0ff93ea21
|
agribalyse-3.2 | Emissions to water | m3 | 7732-18-5 | algorithm |
material
water
|
a3876d9b-a3e8-4680-861a-4e08642f1392 |
1 flow
|
|
Water, CN-NX
44ab6430-5834-5628-a7d0-2950df252b00
|
agribalyse-3.2 | Emissions to water | m3 | 7732-18-5 | algorithm |
material
water
|
a3876d9b-a3e8-4680-861a-4e08642f1392 |
1 flow
|
|
Water, CN-QH
e725f10d-efa0-574f-9a65-cb1bdebe2ed2
|
agribalyse-3.2 | Emissions to water | m3 | 7732-18-5 | algorithm |
material
water
|
a3876d9b-a3e8-4680-861a-4e08642f1392 |
1 flow
|
|
Water, CN-SA
39515db1-5c46-5245-9316-3e86dc1007a3
|
agribalyse-3.2 | Emissions to water | m3 | 7732-18-5 | algorithm |
material
water
|
a3876d9b-a3e8-4680-861a-4e08642f1392 |
1 flow
|
|
Water, CN-SC
71737aee-99b5-5bca-a7be-273cc0dea6c5
|
agribalyse-3.2 | Emissions to water | m3 | 7732-18-5 | algorithm |
material
water
|
a3876d9b-a3e8-4680-861a-4e08642f1392 |
1 flow
|
|
Water, CN-SD
d16babac-f963-5cbb-8760-df05f43a4743
|
agribalyse-3.2 | Emissions to water | m3 | 7732-18-5 | algorithm |
material
water
|
a3876d9b-a3e8-4680-861a-4e08642f1392 |
1 flow
|
|
Water, CN-SH
b0519a2e-6b51-525e-87fd-cb16f79297cd
|
agribalyse-3.2 | Emissions to water | m3 | 7732-18-5 | algorithm |
material
water
|
a3876d9b-a3e8-4680-861a-4e08642f1392 |
1 flow
|
|
Water, CN-SX
e29596e0-0fce-5f7d-8094-f1a970c15717
|
agribalyse-3.2 | Emissions to water | m3 | 7732-18-5 | algorithm |
material
water
|
a3876d9b-a3e8-4680-861a-4e08642f1392 |
1 flow
|
|
Water, CN-TJ
c0d55658-476b-5bd1-8f67-1da54008c57c
|
agribalyse-3.2 | Emissions to water | m3 | 7732-18-5 | algorithm |
material
water
|
a3876d9b-a3e8-4680-861a-4e08642f1392 |
1 flow
|
|
Water, CN-XJ
d4e01001-7d0c-53f3-ba4d-0ae0bda0683a
|
agribalyse-3.2 | Emissions to water | m3 | 7732-18-5 | algorithm |
material
water
|
a3876d9b-a3e8-4680-861a-4e08642f1392 |
1 flow
|
|
Water, CN-XZ
dd75dcc7-5f92-5d52-b57b-f2bec031e7bd
|
agribalyse-3.2 | Emissions to water | m3 | 7732-18-5 | algorithm |
material
water
|
a3876d9b-a3e8-4680-861a-4e08642f1392 |
1 flow
|
|
Water, CN-YN
da5b8791-fdd2-5009-a01c-f53ea4fc8d66
|
agribalyse-3.2 | Emissions to water | m3 | 7732-18-5 | algorithm |
material
water
|
a3876d9b-a3e8-4680-861a-4e08642f1392 |
1 flow
|
|
Water, CN-ZJ
ad67fc85-c89b-5f94-a964-22540875f926
|
agribalyse-3.2 | Emissions to water | m3 | 7732-18-5 | algorithm |
material
water
|
a3876d9b-a3e8-4680-861a-4e08642f1392 |
1 flow
|
|
Water, CN-ZJ
0d6c5fae-5cba-51e2-8a3e-53bf33e307ff
|
agribalyse-3.2 | Emissions to water → river | m3 | 7732-18-5 | algorithm |
material
water
|
f213d8e4abd83830db89e3b9bf1ec0de3b5d00af |
1 flow
|
|
Water
aa54a9ff-104d-5923-9b3d-b8a0d66eec76
|
agribalyse-3.2 | Emissions to water | m3 | 7732-18-5 | algorithm |
material
water
|
a3876d9b-a3e8-4680-861a-4e08642f1392 |
1 flow
|
|
Water
d40ae8c6-81c8-5656-9590-8eb480289825
|
agribalyse-3.2 | Emissions to water → groundwater | m3 | 7732-18-5 | algorithm |
material
water
|
4f6f34eca7021b134a2ee7660ac6b7ecd0cfa326 |
1 flow
|