m-Xylene
f6ec68c2-8773-5652-b6a6-a7c02318756f
agribalyse 3.2
algorithm- Name
- m-Xylene
- Context
- Emissions to water → river
- Unit
- kg
- CAS
- 108-38-3
- EC
- 203-576-3
- Basis
- cas 108-38-3
- Method
- algorithm
- Substance
- fo-9e8c6faeaec0f104
- Target flow
- 4b00efbfb3e6a28e55b29cb74dcd4034ff38c06f
What it could have been
1 flow between them, 6 of them eligible after the dimension and media filter, 9 removed because the context did not agree.
| Score | Name | Unit | Context | LCIA | Flow |
|---|---|---|---|---|---|
| 0 | M-xylene | kg | Environmental → Water → River | 0 | 4b00efbfb3e6a28e55b29cb74dcd4034ff38c06f |
Everything this outcome recorded
{
"source_uuid": "f6ec68c2-8773-5652-b6a6-a7c02318756f",
"source_name": "m-Xylene",
"source_context": [
"Emissions to water",
"river"
],
"source_context_normalized": [
"Environmental",
"Water",
"River"
],
"source_context_iri": "https://vocab.brightway.one/flow-contexts/envi-wate-rive",
"source_unit": "kg",
"source_cas": "108-38-3",
"source_ec": "203-576-3",
"flow_object_id": "fo-9e8c6faeaec0f104",
"target_name": "M-xylene",
"target_elementary_flow_id": "4b00efbfb3e6a28e55b29cb74dcd4034ff38c06f",
"target_context": [
"Environmental",
"Water",
"River"
],
"target_unit": "kg",
"basis": "cas",
"basis_value": "108-38-3",
"selector_reason": "exact-context-iri-match",
"matching_method": "algorithm",
"algorithm_details": {
"flow_object_candidate_count": 1,
"elementary_candidate_count": 15,
"eligible_candidate_count": 6,
"filtered_out_context_mismatch_count": 9,
"required_dimension": "Environmental",
"required_media": "Water",
"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": "4b00efbfb3e6a28e55b29cb74dcd4034ff38c06f",
"score": 0,
"unit_exact": false,
"context_overlap": 0,
"context_penalty": 0,
"context_iri_exact": true,
"unit": "kg",
"context": [
"Environmental",
"Water",
"River"
],
"context_iri": "https://vocab.brightway.one/flow-contexts/envi-wate-rive"
}
],
"scored_candidates": [
{
"elementary_flow_id": "4b00efbfb3e6a28e55b29cb74dcd4034ff38c06f",
"score": 0,
"unit_exact": false,
"context_overlap": 0,
"context_penalty": 0,
"context_iri_exact": true,
"unit": "kg",
"context": [
"Environmental",
"Water",
"River"
],
"context_iri": "https://vocab.brightway.one/flow-contexts/envi-wate-rive"
}
],
"winning_score": null,
"tie_on_top_score": false,
"source_context_original": [
"Emissions to water",
"river"
],
"source_context_normalized": [
"Environmental",
"Water",
"River"
],
"source_context_used_for_matching": [
"Environmental",
"Water",
"River"
],
"source_context_matching_basis": "normalized"
},
"provenance": {
"prov:wasGeneratedBy": "merge_agribalyse",
"prov:wasAttributedTo": "brightway-flows",
"prov:hadPrimarySource": [
"agribalyse:3.2:f6ec68c2-8773-5652-b6a6-a7c02318756f",
"m-Xylene",
"",
"algorithm.lookup_order=cas>ec>label",
"algorithm.basis=cas:108-38-3",
"algorithm.flow_object_candidates=1",
"algorithm.elementary_candidates=15",
"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:108-38-3);flow_object_candidates(1);elementary_candidates(15);selector(exact-context-iri-match);exact-iri-shortcircuit;up-tree-filter;score=(2*unit_exact)+context_overlap-context_penalty+context_iri_exact;contradiction-veto"
}
}