{"id":"W4231927187","doi":"10.1515/iupac.79.0873","title":"Autoimmune Disease","year":2016,"lang":"fi","type":"dataset","venue":"IUPAC Standards Online","topic":"Analytical Chemistry and Chromatography","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; 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":[0.0007869037,0.0009946555,0.001552088,0.002744099,0.0005781675,0.001847517,0.001357953,0.001325239,0.08667592],"category_scores_gemma":[0.008826347,0.0003441889,0.001665002,0.004538796,0.0001746809,0.001202594,0.000958012,0.00124056,0.04029251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007214696,"about_ca_system_score_gemma":0.001330462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007181837,"about_ca_topic_score_gemma":0.01606043,"domain_scores_codex":[0.9989247,0.0001376596,0.0002823496,0.0003500726,0.0001750272,0.0001301374],"domain_scores_gemma":[0.9970086,0.0009694102,0.0006499694,0.0005519639,0.0006163013,0.0002037314],"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":[0.001047187,0.00004667461,0.01633884,0.004859957,0.0004230784,0.0001433648,0.00003822842,0.0002800527,0.0002650424,0.0007038098,0.9459677,0.02988603],"study_design_scores_gemma":[0.00135894,0.0001163478,0.08100482,0.004715979,0.0008240924,0.001213904,0.0001502908,0.000541553,0.0005187431,0.003380297,0.9060874,0.0000877023],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009348955,0.001114961,0.0001533274,0.0001436297,0.00008054204,0.00004993601,0.9940212,0.0001263823,0.003375153],"genre_scores_gemma":[0.004228309,0.0009712774,0.0005685004,0.0004747444,0.0001030156,0.0003030478,0.9905728,0.00005354839,0.002724918],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08667592,"threshold_uncertainty_score":0.2899598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00970029623027926,"score_gpt":0.3566437134540349,"score_spread":0.3469434172237557,"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."}}