{"id":"W4243141361","doi":"10.1515/iupac.81.0468","title":"Incremental Unit Risk Estimate","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Relation (database); Unit (ring theory); Computer science; Ecology; Data mining; Biology; Psychology; Mathematics education; Linguistics","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":[0.006537527,0.002298173,0.003006942,0.005944912,0.000759664,0.004360341,0.005956471,0.00278516,0.05509183],"category_scores_gemma":[0.04307391,0.0005680361,0.003846406,0.005439242,0.000710541,0.003480388,0.002183737,0.00406376,0.03048471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002827903,"about_ca_system_score_gemma":0.002824171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01086365,"about_ca_topic_score_gemma":0.01552606,"domain_scores_codex":[0.9959037,0.001161783,0.0004652442,0.001261095,0.0009237929,0.0002844304],"domain_scores_gemma":[0.9879621,0.007181026,0.0006547112,0.002135784,0.001758179,0.0003083487],"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":[0.000854856,0.0002693155,0.01730108,0.002370688,0.0007738204,0.0001276868,0.00004921881,0.04045918,0.0001466896,0.009847283,0.8221953,0.1056048],"study_design_scores_gemma":[0.00120617,0.0004453801,0.01565002,0.001871895,0.000970559,0.00128277,0.0003199773,0.1716404,0.002106214,0.09574658,0.7085012,0.0002587922],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.007761772,0.004586397,0.02022351,0.001482303,0.0006727954,0.0004751527,0.9516029,0.00347892,0.00971628],"genre_scores_gemma":[0.04552835,0.001679051,0.03069682,0.0006972557,0.0003517918,0.001017169,0.9131024,0.0006874448,0.006239669],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05509183,"threshold_uncertainty_score":0.1843005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06524203046582772,"score_gpt":0.5122322729695098,"score_spread":0.4469902425036821,"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."}}