Silver-110
9adcfea4-ddb3-5c2e-91a6-0c5d01f3f433
bafu 2026-v1
algorithm- Name
- Silver-110
- Context
- emissions to water → river
- Unit
- kBq
- CAS
- 14391-76-5
- EC
- —
- Basis
- cas 14391-76-5
- Method
- algorithm
- Substance
- fo-6529610dacf19339
- Target flow
- 06a529e317baf4f6c8b917679ae6fa75854c1961
What it could have been
1 flow between them, 6 of them eligible after the dimension and media filter, 8 removed because the context did not agree.
| Score | Name | Unit | Context | LCIA | Flow |
|---|---|---|---|---|---|
| 0 | Silver-110m | kBq | Environmental → Water → River | 0 | 06a529e317baf4f6c8b917679ae6fa75854c1961 |
Everything this outcome recorded
{
"source_uuid": "9adcfea4-ddb3-5c2e-91a6-0c5d01f3f433",
"source_name": "Silver-110",
"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": "kBq",
"source_cas": "14391-76-5",
"source_ec": "",
"flow_object_id": "fo-6529610dacf19339",
"target_name": "Silver-110m",
"target_elementary_flow_id": "06a529e317baf4f6c8b917679ae6fa75854c1961",
"target_context": [
"Environmental",
"Water",
"River"
],
"target_unit": "kBq",
"basis": "cas",
"basis_value": "14391-76-5",
"selector_reason": "exact-context-iri-match",
"matching_method": "algorithm",
"algorithm_details": {
"flow_object_candidate_count": 1,
"elementary_candidate_count": 14,
"eligible_candidate_count": 6,
"filtered_out_context_mismatch_count": 8,
"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": "06a529e317baf4f6c8b917679ae6fa75854c1961",
"score": 0,
"unit_exact": false,
"context_overlap": 0,
"context_penalty": 0,
"context_iri_exact": true,
"unit": "kBq",
"context": [
"Environmental",
"Water",
"River"
],
"context_iri": "https://vocab.brightway.one/flow-contexts/envi-wate-rive"
}
],
"scored_candidates": [
{
"elementary_flow_id": "06a529e317baf4f6c8b917679ae6fa75854c1961",
"score": 0,
"unit_exact": false,
"context_overlap": 0,
"context_penalty": 0,
"context_iri_exact": true,
"unit": "kBq",
"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-v1:9adcfea4-ddb3-5c2e-91a6-0c5d01f3f433",
"Silver-110",
"",
"algorithm.lookup_order=cas>ec>label",
"algorithm.basis=cas:14391-76-5",
"algorithm.flow_object_candidates=1",
"algorithm.elementary_candidates=14",
"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:14391-76-5);flow_object_candidates(1);elementary_candidates(14);selector(exact-context-iri-match);exact-iri-shortcircuit;up-tree-filter;score=(2*unit_exact)+context_overlap-context_penalty+context_iri_exact;contradiction-veto"
}
}