{"id":"W4232644932","doi":"10.1515/iupac.79.1463","title":"Immunotoxic","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Immunotoxicology and immune responses","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Toxicology; Library science; Chemistry; Philosophy; Biology; Linguistics; Organic chemistry","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":[0.001417982,0.001899843,0.001898977,0.003766222,0.0007909057,0.002753287,0.002617728,0.001723426,0.08862129],"category_scores_gemma":[0.009601569,0.0006185678,0.00204338,0.005249532,0.0003364448,0.001618373,0.001921295,0.001829266,0.08051885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001681408,"about_ca_system_score_gemma":0.003349913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01422064,"about_ca_topic_score_gemma":0.03162364,"domain_scores_codex":[0.9984044,0.0002601372,0.0003082075,0.0004775779,0.0003861727,0.0001633364],"domain_scores_gemma":[0.9964276,0.001051386,0.0006457394,0.000710371,0.0008917146,0.0002731861],"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":[0.0003007414,0.00004060203,0.003447087,0.005108943,0.000135733,0.00004929149,0.00003467359,0.0004041499,0.0002675118,0.0008718075,0.9768685,0.01247103],"study_design_scores_gemma":[0.000281912,0.00002929424,0.006711229,0.001161833,0.0001183527,0.000117043,0.0000424661,0.000181846,0.0002668815,0.00110164,0.9899613,0.00002619271],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001482407,0.0003730902,0.00007952838,0.00006209817,0.00003073256,0.00002056564,0.9978949,0.0001498107,0.001240906],"genre_scores_gemma":[0.000531535,0.0003075596,0.0003404698,0.0001433117,0.00001365063,0.0001110206,0.9972953,0.00004464163,0.00121238],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08862129,"threshold_uncertainty_score":0.2964677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01074218559648653,"score_gpt":0.3691979004179942,"score_spread":0.3584557148215076,"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."}}