Water
f851a8d3-b187-5f98-b9ab-54bdd626d0ab
bafu 2026-v1
algorithm- Name
- Water
- Context
- emissions to water → river
- Unit
- m3
- CAS
- 7732-18-5
- EC
- 231-791-2
- Basis
- material water
- Method
- algorithm
- Substance
- fo-464532a8f956fd39
- Target flow
- f213d8e4abd83830db89e3b9bf1ec0de3b5d00af
What it could have been
1 flow between them, 7 of them eligible after the dimension and media filter, 1 removed because the context did not agree.
| Score | Name | Unit | Context | LCIA | Flow |
|---|---|---|---|---|---|
| 0 | Water | m3 | Environmental → Water → River | 0 | f213d8e4abd83830db89e3b9bf1ec0de3b5d00af |
Everything this outcome recorded
{
"source_uuid": "f851a8d3-b187-5f98-b9ab-54bdd626d0ab",
"source_name": "Water",
"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": "m3",
"source_cas": "7732-18-5",
"source_ec": "231-791-2",
"flow_object_id": "fo-464532a8f956fd39",
"target_name": "Water",
"target_elementary_flow_id": "f213d8e4abd83830db89e3b9bf1ec0de3b5d00af",
"target_context": [
"Environmental",
"Water",
"River"
],
"target_unit": "m3",
"basis": "material",
"basis_value": "water",
"selector_reason": "exact-context-iri-match",
"matching_method": "algorithm",
"algorithm_details": {
"flow_object_candidate_count": 1,
"elementary_candidate_count": 8,
"eligible_candidate_count": 7,
"filtered_out_context_mismatch_count": 1,
"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": "f213d8e4abd83830db89e3b9bf1ec0de3b5d00af",
"score": 0,
"unit_exact": false,
"context_overlap": 0,
"context_penalty": 0,
"context_iri_exact": true,
"unit": "m3",
"context": [
"Environmental",
"Water",
"River"
],
"context_iri": "https://vocab.brightway.one/flow-contexts/envi-wate-rive"
}
],
"scored_candidates": [
{
"elementary_flow_id": "f213d8e4abd83830db89e3b9bf1ec0de3b5d00af",
"score": 0,
"unit_exact": false,
"context_overlap": 0,
"context_penalty": 0,
"context_iri_exact": true,
"unit": "m3",
"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_bafu",
"prov:wasAttributedTo": "consensus-flow-list",
"prov:hadPrimarySource": [
"bafu:2026-v1:f851a8d3-b187-5f98-b9ab-54bdd626d0ab",
"Water",
"",
"algorithm.lookup_order=cas>ec>label",
"algorithm.basis=material:water",
"algorithm.flow_object_candidates=1",
"algorithm.elementary_candidates=8",
"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(material:water);flow_object_candidates(1);elementary_candidates(8);selector(exact-context-iri-match);exact-iri-shortcircuit;up-tree-filter;score=(2*unit_exact)+context_overlap-context_penalty+context_iri_exact;contradiction-veto"
}
}