{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0004448163,0.001565187,0.001663731,0.0001707176,0.0004360596,0.0002179626,0.001713143,0.001314145,0.1033968],"category_scores_gemma":[0.001205375,0.001298051,0.001420802,0.0004846934,0.001142671,0.0001819568,0.0006938311,0.001635399,0.00005202749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007314802,"about_ca_system_score_gemma":0.002078141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003563948,"about_ca_topic_score_gemma":0.00001997861,"domain_scores_codex":[0.9927687,0.00008588065,0.001497171,0.001687589,0.002476333,0.001484328],"domain_scores_gemma":[0.9934515,0.0002905844,0.0007285131,0.003164912,0.0007770631,0.001587457],"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":[0.001000744,0.001474613,0.0001640587,0.00316662,0.0009708519,0.001026135,0.00001113608,0.000001329494,0.001149445,0.00006410517,0.9892943,0.001676641],"study_design_scores_gemma":[0.002224632,0.00007917781,0.00009215323,0.00338336,0.001464233,0.00002776965,0.000065653,0.0000411424,0.001416969,0.0006202334,0.9888987,0.001686008],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001499552,0.005840599,0.0001371174,0.001720431,0.0004622264,0.0001873761,0.9882515,0.0002555468,0.001645669],"genre_scores_gemma":[0.003435476,0.00343854,0.00002205782,0.0003337256,0.002755467,0.00003095208,0.9761105,0.0001625518,0.0137107],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1033448,"threshold_uncertainty_score":0.9999824,"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."}}