{"id":"W4240226101","doi":"10.1515/iupac.81.0200","title":"Condition Factor","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"History and advancements in chemistry","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Relation (database); Environmental risk assessment; Computer science; Ecology; Risk assessment; Biology; Data mining; Linguistics; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001617132,0.002626619,0.00164765,0.004267517,0.001358725,0.003920612,0.002634564,0.002518453,0.1595605],"category_scores_gemma":[0.02060969,0.000562087,0.002413914,0.005107937,0.0006400613,0.003529355,0.002032747,0.002562479,0.1613992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002240716,"about_ca_system_score_gemma":0.003394266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02323825,"about_ca_topic_score_gemma":0.03275513,"domain_scores_codex":[0.997112,0.0002943644,0.0004494157,0.001178824,0.0005908231,0.0003744592],"domain_scores_gemma":[0.9937876,0.002226863,0.0005010727,0.001480408,0.001671189,0.0003327325],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002419208,0.00006226688,0.005219221,0.0009532681,0.00004925744,0.00005284849,0.00003116866,0.0005292895,0.0001731501,0.001508978,0.9757916,0.01538706],"study_design_scores_gemma":[0.0002810097,0.00005303801,0.009875197,0.0006551863,0.00006953733,0.0002932969,0.0001861219,0.001524818,0.0005974731,0.005243385,0.9811521,0.0000689896],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006183433,0.0003084138,0.0003734207,0.00020185,0.0001250361,0.00006484247,0.9944377,0.0007413567,0.003129025],"genre_scores_gemma":[0.002030601,0.0001883923,0.001005859,0.0001651091,0.00003830825,0.0001880746,0.9942966,0.0001277028,0.001959284],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1595605,"threshold_uncertainty_score":0.5337829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01496688494737687,"score_gpt":0.400474026547051,"score_spread":0.3855071415996741,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}