{"id":"W4254337051","doi":"10.1515/iupac.79.0872","title":"Attributable Risk","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; Chemical nomenclature; Hazard; Computer science; Toxicology; Chemistry; Philosophy; Biology; 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":[0.002661956,0.001367403,0.002004935,0.004305218,0.0004474703,0.002399196,0.002477176,0.001484422,0.1451253],"category_scores_gemma":[0.02813316,0.0005061624,0.0038734,0.005366547,0.0002848138,0.001943455,0.001385754,0.002358725,0.06295489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001325683,"about_ca_system_score_gemma":0.00212363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01030293,"about_ca_topic_score_gemma":0.01255997,"domain_scores_codex":[0.9962323,0.0006954778,0.0007761299,0.001385099,0.0007168614,0.0001941947],"domain_scores_gemma":[0.9901058,0.005145205,0.001314649,0.0015969,0.001587742,0.0002497809],"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":[0.0005012822,0.00005819666,0.01378295,0.004354379,0.001038507,0.00005547739,0.00003475055,0.001648053,0.0000867246,0.003215345,0.9379439,0.03728042],"study_design_scores_gemma":[0.0009389183,0.00009766688,0.01977815,0.002367452,0.001000918,0.0004099634,0.00008767653,0.001364318,0.0002288856,0.01218666,0.9614539,0.00008554658],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000369371,0.0006515403,0.0004403836,0.0001657376,0.00008043673,0.00005472005,0.9956625,0.0002025107,0.002372871],"genre_scores_gemma":[0.005308398,0.001060164,0.001587324,0.0005465013,0.0001422133,0.0004680081,0.9870315,0.0001669993,0.003688916],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1451253,"threshold_uncertainty_score":0.4854923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01276295417385504,"score_gpt":0.3789659099682417,"score_spread":0.3662029557943867,"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."}}