{"id":"W4240152780","doi":"10.1515/iupac.84.0563","title":"Fibroblast","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Cancer Diagnosis and Treatment","field":"Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001280076,0.0004038456,0.0007657746,0.0001659413,0.00005939484,0.00002789627,0.0001289202,0.0002844769,0.01066253],"category_scores_gemma":[0.0001462351,0.000260906,0.0002853628,0.0001166917,0.00009855732,0.00003412354,0.00009393966,0.0002831099,0.00001310123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009430919,"about_ca_system_score_gemma":0.001039041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002144553,"about_ca_topic_score_gemma":0.0006245067,"domain_scores_codex":[0.9978564,0.00002291336,0.0003610151,0.0004903349,0.0009044858,0.0003648345],"domain_scores_gemma":[0.9983022,0.00007196528,0.0001610214,0.0008800117,0.0003125162,0.000272241],"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":[0.0003440067,0.0006208517,0.0000514561,0.0002809023,0.0003296474,0.0003409641,0.00000360049,1.252898e-7,0.000004962675,0.000003486143,0.9916068,0.006413205],"study_design_scores_gemma":[0.002931522,0.0009392662,0.0003044006,0.003374303,0.000420248,0.00007474342,0.000005570601,3.192998e-7,0.00006840739,0.00002529463,0.9915928,0.0002631699],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009317366,0.001323481,0.00001075859,0.003157302,0.0003323733,0.0004608817,0.9944298,0.00005899831,0.0001332819],"genre_scores_gemma":[0.00002603262,0.002912139,0.00004556646,0.0006812484,0.001595729,0.000051016,0.9935759,0.00004416923,0.001068147],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01064942,"threshold_uncertainty_score":0.9999843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01500045337316453,"score_gpt":0.4202968200329781,"score_spread":0.4052963666598136,"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."}}