{"id":"W4242010976","doi":"10.1515/iupac.84.0293","title":"Antitoxin","year":2016,"lang":"it","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":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Immunotoxicology; Medicine; Immunology; Immune system; Philosophy; 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":[0.0009676394,0.001404959,0.001111137,0.003769668,0.0007904589,0.002481508,0.001798991,0.001635782,0.07503427],"category_scores_gemma":[0.006649397,0.0005141569,0.001479469,0.005300255,0.0003156306,0.001383229,0.00145387,0.001945987,0.08247126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001727179,"about_ca_system_score_gemma":0.002691137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0197457,"about_ca_topic_score_gemma":0.034382,"domain_scores_codex":[0.9986217,0.0001669511,0.0002551495,0.0004200867,0.0003666356,0.0001694911],"domain_scores_gemma":[0.9969413,0.0007297377,0.0005383592,0.0006747465,0.0009022685,0.0002135708],"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":[0.0003013026,0.00004789488,0.005267404,0.002785081,0.00009775448,0.00006105057,0.0000328984,0.0005206601,0.0004188809,0.001470066,0.9744251,0.01457197],"study_design_scores_gemma":[0.0001601707,0.0000315609,0.00817905,0.0006075659,0.00004983586,0.0001156775,0.00005183385,0.0002708008,0.0004215061,0.001020597,0.9890708,0.00002059917],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002314884,0.0001840956,0.00008339124,0.00007802306,0.00004013982,0.0000144396,0.9975412,0.000175859,0.001651329],"genre_scores_gemma":[0.0007218481,0.0001969717,0.0003233558,0.0001212828,0.00001214986,0.00004584814,0.9969075,0.00004103523,0.001629983],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07503427,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01193223484310594,"score_gpt":0.3759827734507387,"score_spread":0.3640505386076328,"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."}}