{"id":"W4254838922","doi":"10.1515/iupac.84.0402","title":"Chimeric","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","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":[0.001642786,0.001603966,0.001229906,0.003219937,0.001021739,0.003672837,0.002692285,0.002150856,0.1874672],"category_scores_gemma":[0.01427011,0.0006130458,0.001841148,0.0060887,0.0003873504,0.002565755,0.002450215,0.001981749,0.2265823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00190117,"about_ca_system_score_gemma":0.003667629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02083836,"about_ca_topic_score_gemma":0.0344849,"domain_scores_codex":[0.9971944,0.0004601006,0.0004779302,0.0009364642,0.0005705459,0.0003604785],"domain_scores_gemma":[0.9945664,0.001201479,0.0005449412,0.001376822,0.001940908,0.0003695526],"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":[0.0001179231,0.00001900221,0.001674261,0.0007481583,0.00003561538,0.00001656432,0.00002046544,0.0001414312,0.00006883663,0.0008775771,0.9902698,0.00601038],"study_design_scores_gemma":[0.0001680931,0.00002045989,0.003633512,0.000614973,0.00003329403,0.00007135743,0.00008247113,0.0002227691,0.0002014103,0.001658407,0.9932685,0.00002453471],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001279094,0.00008503572,0.00009996034,0.0001422928,0.00004610191,0.00002469312,0.9972403,0.0002257579,0.002007916],"genre_scores_gemma":[0.0004423579,0.00008559465,0.0002991136,0.0001706647,0.0000142248,0.0001038248,0.9968349,0.00007135976,0.00197787],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1874672,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0149680123108123,"score_gpt":0.4210364205261921,"score_spread":0.4060684082153798,"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."}}