{"id":"W4244639467","doi":"10.1515/iupac.84.1208","title":"Thrombocyte","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":"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009817876,0.001125527,0.001359685,0.002716419,0.0005910224,0.002744867,0.001580551,0.00166799,0.07065456],"category_scores_gemma":[0.009222222,0.0005263805,0.001173384,0.003486079,0.0002442056,0.00130039,0.001192227,0.002104718,0.03877647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001202172,"about_ca_system_score_gemma":0.002269111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008399623,"about_ca_topic_score_gemma":0.01264365,"domain_scores_codex":[0.9987508,0.0001484972,0.0003032888,0.0003982113,0.000269317,0.0001299699],"domain_scores_gemma":[0.9960455,0.001337261,0.0009373222,0.0006954064,0.0007470062,0.0002374423],"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":[0.0008907049,0.0000551584,0.01169612,0.005265157,0.0001767776,0.00012145,0.00003691492,0.0005268462,0.0003282268,0.001398084,0.9581562,0.02134838],"study_design_scores_gemma":[0.0009516832,0.00006403539,0.02042634,0.002079334,0.0002094156,0.0005574977,0.00005829388,0.000606044,0.0007861943,0.003354335,0.9708595,0.00004728343],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005030737,0.0004889718,0.0001407185,0.0001606982,0.00004604994,0.00004122705,0.9961494,0.000265878,0.002203969],"genre_scores_gemma":[0.002905939,0.0006783898,0.0008030761,0.0004716374,0.0000481139,0.0002870127,0.9922604,0.000079547,0.002465905],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9293454,"threshold_uncertainty_score":0.2363631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01290040159533304,"score_gpt":0.3801341299193008,"score_spread":0.3672337283239678,"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."}}