Manganese
9b60b75f-26fe-5140-85ac-7ad22fba549e
bafu 2026-v1
algorithm- Name
- Manganese
- Context
- emissions to water → unspecified
- Unit
- kg
- CAS
- 7439-96-5
- EC
- 231-105-1
- Basis
- cas 7439-96-5
- Method
- algorithm
- Substance
- fo-399a338738afcc79
- Target flow
- 08a91e70-3ddc-11dd-9bcc-0050c2490048
What it could have been
1 flow between them, 7 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 | kg | Environmental → Water → Unknown | 2 | 08a91e70-3ddc-11dd-9bcc-0050c2490048 |
Everything this outcome recorded
{
"source_uuid": "9b60b75f-26fe-5140-85ac-7ad22fba549e",
"source_name": "Manganese",
"source_context": [
"emissions to water",
"unspecified"
],
"source_context_normalized": [
"Environmental",
"Water"
],
"source_context_iri": "https://vocab.brightway.one/flow-contexts/envi-wate-unkn",
"source_unit": "kg",
"source_cas": "7439-96-5",
"source_ec": "231-105-1",
"flow_object_id": "fo-399a338738afcc79",
"target_name": "Manganese",
"target_elementary_flow_id": "08a91e70-3ddc-11dd-9bcc-0050c2490048",
"target_context": [
"Environmental",
"Water",
"Unknown"
],
"target_unit": "kg",
"basis": "cas",
"basis_value": "7439-96-5",
"selector_reason": "exact-context-iri-match",
"matching_method": "algorithm",
"algorithm_details": {
"flow_object_candidate_count": 1,
"elementary_candidate_count": 18,
"eligible_candidate_count": 7,
"filtered_out_context_mismatch_count": 11,
"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": "08a91e70-3ddc-11dd-9bcc-0050c2490048",
"score": 0,
"unit_exact": false,
"context_overlap": 0,
"context_penalty": 0,
"context_iri_exact": true,
"unit": "kg",
"context": [
"Environmental",
"Water",
"Unknown"
],
"context_iri": "https://vocab.brightway.one/flow-contexts/envi-wate-unkn"
}
],
"scored_candidates": [
{
"elementary_flow_id": "08a91e70-3ddc-11dd-9bcc-0050c2490048",
"score": 0,
"unit_exact": false,
"context_overlap": 0,
"context_penalty": 0,
"context_iri_exact": true,
"unit": "kg",
"context": [
"Environmental",
"Water",
"Unknown"
],
"context_iri": "https://vocab.brightway.one/flow-contexts/envi-wate-unkn"
}
],
"winning_score": null,
"tie_on_top_score": false,
"source_context_original": [
"emissions to water",
"unspecified"
],
"source_context_normalized": [
"Environmental",
"Water"
],
"source_context_used_for_matching": [
"Environmental",
"Water"
],
"source_context_matching_basis": "normalized"
},
"provenance": {
"prov:wasGeneratedBy": "merge_bafu",
"prov:wasAttributedTo": "consensus-flow-list",
"prov:hadPrimarySource": [
"bafu:2026-v1:9b60b75f-26fe-5140-85ac-7ad22fba549e",
"Manganese",
"",
"algorithm.lookup_order=cas>ec>label",
"algorithm.basis=cas:7439-96-5",
"algorithm.flow_object_candidates=1",
"algorithm.elementary_candidates=18",
"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:7439-96-5);flow_object_candidates(1);elementary_candidates(18);selector(exact-context-iri-match);exact-iri-shortcircuit;up-tree-filter;score=(2*unit_exact)+context_overlap-context_penalty+context_iri_exact;contradiction-veto"
}
}