{"id":"W4238713340","doi":"10.1515/iupac.84.1057","title":"Precipitating Antibody","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Medical Imaging and Pathology Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Immunotoxicology; Immunology; Medicine; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007621929,0.0004078156,0.001010855,0.0001989624,0.0001374442,0.00001683383,0.0001857122,0.0003725781,0.001868851],"category_scores_gemma":[0.003963648,0.00026116,0.0001921,0.0001378043,0.0004548132,0.00003454246,0.0001633941,0.0008098205,0.000008753086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001540973,"about_ca_system_score_gemma":0.000633113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003597297,"about_ca_topic_score_gemma":0.00003585423,"domain_scores_codex":[0.9973512,0.0001038832,0.0005034844,0.0005397907,0.001007833,0.0004938414],"domain_scores_gemma":[0.998022,0.0002727482,0.0002231015,0.0007056023,0.0005033872,0.0002731474],"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":[0.0001408272,0.0001957091,0.0003254547,0.0004285059,0.0002403924,0.0006089246,0.00002969397,2.498479e-8,0.00005637665,0.0000015077,0.992305,0.005667622],"study_design_scores_gemma":[0.001541872,0.0004240819,0.0004855535,0.00216955,0.0004678558,0.0001894594,0.00004269432,0.000002076454,0.00001263271,0.00003895,0.994347,0.0002782142],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003688812,0.002144943,0.0002290414,0.003544038,0.001113738,0.0002947561,0.9918943,0.0001119424,0.0002983285],"genre_scores_gemma":[0.00002175847,0.00175007,0.0003102348,0.001633716,0.001873409,0.00001351151,0.9928455,0.00003728544,0.00151451],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.005389408,"threshold_uncertainty_score":0.9999841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02493025683013374,"score_gpt":0.4808469722092132,"score_spread":0.4559167153790795,"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."}}