{"id":"W4239132362","doi":"10.1515/iupac.76.0115","title":"Adverse Effect","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Chemical Safety and Risk Management","field":"Chemical Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Toxicokinetics; Hazard; Relation (database); Multidisciplinary approach; Computer science; Toxicology; Medicine; Pharmacology; Chemistry; Data mining; Political science; Biology; Philosophy; Law; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001370482,0.001427686,0.001466962,0.004321901,0.0006363452,0.002211222,0.001709687,0.001408347,0.1505118],"category_scores_gemma":[0.01293665,0.0004813002,0.002195383,0.004947819,0.0003156743,0.001836205,0.001503436,0.001506907,0.06632851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001359735,"about_ca_system_score_gemma":0.00251187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01047147,"about_ca_topic_score_gemma":0.02143001,"domain_scores_codex":[0.9977063,0.0003167853,0.0006660048,0.0006788805,0.0005037322,0.0001282611],"domain_scores_gemma":[0.9931812,0.002933245,0.001371139,0.001002448,0.001258662,0.0002532652],"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":[0.0003211706,0.00004697435,0.00479075,0.00698315,0.0001723707,0.00008101599,0.0000510052,0.0004263606,0.0002547086,0.00150813,0.9573616,0.02800281],"study_design_scores_gemma":[0.000191749,0.00003989388,0.00901911,0.002026067,0.0001637517,0.0002157898,0.00005902021,0.0001761554,0.0002246261,0.002547051,0.9852969,0.00003991306],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002356144,0.0006651931,0.0001888791,0.00009311573,0.00005036202,0.00005632136,0.995777,0.0001821408,0.002751327],"genre_scores_gemma":[0.001404044,0.000976326,0.00108271,0.000384086,0.0000401609,0.0003368074,0.9924915,0.000100411,0.003183951],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8494881,"threshold_uncertainty_score":0.5035123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006156513486906838,"score_gpt":0.3408373507250299,"score_spread":0.3346808372381231,"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."}}