Manganese II
b0546417-3064-4878-bd6f-2da75cefdf63
Present in 2 source lists
Each list resolved it independently. Where they disagree, that is a conflict.
ecoinvent 3.12
algorithm- Name
- Manganese II
- Context
- air → urban air close to ground
- Unit
- kg
- CAS
- 16397-91-4
- EC
- —
- Basis
- cas 16397-91-4
- Method
- algorithm
- Substance
- fo-80b64837f895a1ee
- Target flow
- 189ebe22-6969-4435-9fe3-adc98508bf59
What it could have been
1 flow between them, 6 of them eligible after the dimension and media filter, 7 removed because the context did not agree.
| Score | Name | Unit | Context | LCIA | Flow |
|---|---|---|---|---|---|
| 0 | Manganese(2+) | kg | Environmental → Air → Ground level → Urban (>1000 people/square mile) | 2 | 189ebe22-6969-4435-9fe3-adc98508bf59 |
Everything this outcome recorded
{
"source_uuid": "b0546417-3064-4878-bd6f-2da75cefdf63",
"source_name": "Manganese II",
"source_context": [
"air",
"urban air close to ground"
],
"source_context_normalized": [
"Environmental",
"Air",
"Ground level",
"Urban (>1000 people/square mile)"
],
"source_context_iri": "https://vocab.brightway.one/flow-contexts/envi-air-grle-ur10pesq",
"source_unit": "kg",
"source_cas": "16397-91-4",
"source_ec": "",
"flow_object_id": "fo-80b64837f895a1ee",
"target_name": "Manganese(2+)",
"target_elementary_flow_id": "189ebe22-6969-4435-9fe3-adc98508bf59",
"target_context": [
"Environmental",
"Air",
"Ground level",
"Urban (>1000 people/square mile)"
],
"target_unit": "kg",
"basis": "cas",
"basis_value": "16397-91-4",
"selector_reason": "exact-context-iri-match",
"matching_method": "algorithm",
"algorithm_details": {
"flow_object_candidate_count": 1,
"elementary_candidate_count": 13,
"eligible_candidate_count": 6,
"filtered_out_context_mismatch_count": 7,
"required_dimension": "Environmental",
"required_media": "Air",
"selector_model": "exact-iri-shortcircuit;up-tree-filter;score=(2*unit_exact)+context_overlap-context_penalty+context_iri_exact;contradiction-veto",
"top_candidates": [
{
"elementary_flow_id": "189ebe22-6969-4435-9fe3-adc98508bf59",
"score": 0,
"unit_exact": false,
"context_overlap": 0,
"context_penalty": 0,
"context_iri_exact": true,
"unit": "kg",
"context": [
"Environmental",
"Air",
"Ground level",
"Urban (>1000 people/square mile)"
],
"context_iri": "https://vocab.brightway.one/flow-contexts/envi-air-grle-ur10pesq"
}
],
"scored_candidates": [
{
"elementary_flow_id": "189ebe22-6969-4435-9fe3-adc98508bf59",
"score": 0,
"unit_exact": false,
"context_overlap": 0,
"context_penalty": 0,
"context_iri_exact": true,
"unit": "kg",
"context": [
"Environmental",
"Air",
"Ground level",
"Urban (>1000 people/square mile)"
],
"context_iri": "https://vocab.brightway.one/flow-contexts/envi-air-grle-ur10pesq"
}
],
"winning_score": null,
"tie_on_top_score": false,
"source_context_original": [
"air",
"urban air close to ground"
],
"source_context_normalized": [
"Environmental",
"Air",
"Ground level",
"Urban (>1000 people/square mile)"
],
"source_context_used_for_matching": [
"Environmental",
"Air",
"Ground level",
"Urban (>1000 people/square mile)"
],
"source_context_matching_basis": "normalized"
},
"provenance": {
"prov:wasGeneratedBy": "merge_ecoinvent",
"prov:wasAttributedTo": "brightway-flows",
"prov:hadPrimarySource": [
"ecoinvent:3.12:b0546417-3064-4878-bd6f-2da75cefdf63",
"Manganese II",
"",
"algorithm.lookup_order=cas>ec>label",
"algorithm.basis=cas:16397-91-4",
"algorithm.flow_object_candidates=1",
"algorithm.elementary_candidates=13",
"algorithm.selector_reason=exact-context-iri-match",
"algorithm.score_rule=exact-iri-shortcircuit;up-tree-filter;score=(2*unit_exact)+context_overlap-context_penalty+context_iri_exact;contradiction-veto"
],
"prov:wasDerivedFrom": "algorithmic_fallback:lookup_order(cas>ec>label);basis(cas:16397-91-4);flow_object_candidates(1);elementary_candidates(13);selector(exact-context-iri-match);exact-iri-shortcircuit;up-tree-filter;score=(2*unit_exact)+context_overlap-context_penalty+context_iri_exact;contradiction-veto"
}
}ecoinvent 3.8
algorithm- Name
- Manganese II
- Context
- air → urban air close to ground
- Unit
- kg
- CAS
- 16397-91-4
- EC
- —
- Basis
- cas 16397-91-4
- Method
- algorithm
- Substance
- fo-80b64837f895a1ee
- Target flow
- 189ebe22-6969-4435-9fe3-adc98508bf59
What it could have been
1 flow between them, 6 of them eligible after the dimension and media filter, 11 removed because the context did not agree.
| Score | Name | Unit | Context | LCIA | Flow |
|---|---|---|---|---|---|
| 0 | Manganese(2+) | kg | Environmental → Air → Ground level → Urban (>1000 people/square mile) | 2 | 189ebe22-6969-4435-9fe3-adc98508bf59 |
Everything this outcome recorded
{
"source_uuid": "b0546417-3064-4878-bd6f-2da75cefdf63",
"source_name": "Manganese II",
"source_context": [
"air",
"urban air close to ground"
],
"source_context_normalized": [
"Environmental",
"Air",
"Ground level",
"Urban (>1000 people/square mile)"
],
"source_context_iri": "https://vocab.brightway.one/flow-contexts/envi-air-grle-ur10pesq",
"source_unit": "kg",
"source_cas": "16397-91-4",
"source_ec": "",
"flow_object_id": "fo-80b64837f895a1ee",
"target_name": "Manganese(2+)",
"target_elementary_flow_id": "189ebe22-6969-4435-9fe3-adc98508bf59",
"target_context": [
"Environmental",
"Air",
"Ground level",
"Urban (>1000 people/square mile)"
],
"target_unit": "kg",
"basis": "cas",
"basis_value": "16397-91-4",
"selector_reason": "exact-context-iri-match",
"matching_method": "algorithm",
"algorithm_details": {
"flow_object_candidate_count": 1,
"elementary_candidate_count": 17,
"eligible_candidate_count": 6,
"filtered_out_context_mismatch_count": 11,
"required_dimension": "Environmental",
"required_media": "Air",
"selector_model": "exact-iri-shortcircuit;up-tree-filter;score=(2*unit_exact)+context_overlap-context_penalty+context_iri_exact;contradiction-veto",
"top_candidates": [
{
"elementary_flow_id": "189ebe22-6969-4435-9fe3-adc98508bf59",
"score": 0,
"unit_exact": false,
"context_overlap": 0,
"context_penalty": 0,
"context_iri_exact": true,
"unit": "kg",
"context": [
"Environmental",
"Air",
"Ground level",
"Urban (>1000 people/square mile)"
],
"context_iri": "https://vocab.brightway.one/flow-contexts/envi-air-grle-ur10pesq"
}
],
"scored_candidates": [
{
"elementary_flow_id": "189ebe22-6969-4435-9fe3-adc98508bf59",
"score": 0,
"unit_exact": false,
"context_overlap": 0,
"context_penalty": 0,
"context_iri_exact": true,
"unit": "kg",
"context": [
"Environmental",
"Air",
"Ground level",
"Urban (>1000 people/square mile)"
],
"context_iri": "https://vocab.brightway.one/flow-contexts/envi-air-grle-ur10pesq"
}
],
"winning_score": null,
"tie_on_top_score": false,
"source_context_original": [
"air",
"urban air close to ground"
],
"source_context_normalized": [
"Environmental",
"Air",
"Ground level",
"Urban (>1000 people/square mile)"
],
"source_context_used_for_matching": [
"Environmental",
"Air",
"Ground level",
"Urban (>1000 people/square mile)"
],
"source_context_matching_basis": "normalized"
},
"provenance": {
"prov:wasGeneratedBy": "merge_ecoinvent",
"prov:wasAttributedTo": "brightway-flows",
"prov:hadPrimarySource": [
"ecoinvent:3.8:b0546417-3064-4878-bd6f-2da75cefdf63",
"Manganese II",
"",
"algorithm.lookup_order=cas>ec>label",
"algorithm.basis=cas:16397-91-4",
"algorithm.flow_object_candidates=1",
"algorithm.elementary_candidates=17",
"algorithm.selector_reason=exact-context-iri-match",
"algorithm.score_rule=exact-iri-shortcircuit;up-tree-filter;score=(2*unit_exact)+context_overlap-context_penalty+context_iri_exact;contradiction-veto"
],
"prov:wasDerivedFrom": "algorithmic_fallback:lookup_order(cas>ec>label);basis(cas:16397-91-4);flow_object_candidates(1);elementary_candidates(17);selector(exact-context-iri-match);exact-iri-shortcircuit;up-tree-filter;score=(2*unit_exact)+context_overlap-context_penalty+context_iri_exact;contradiction-veto"
}
}