{"id":"W4252313395","doi":"10.1515/iupac.79.1610","title":"Metaplasia","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":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Toxicology; Library science; Chemistry; Philosophy; Biology; 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":[0.0001921938,0.0004280153,0.0009464101,0.0001938094,0.00005873547,0.00002793059,0.0001390636,0.0002893598,0.01054585],"category_scores_gemma":[0.0001893718,0.000268436,0.0003496156,0.0001312385,0.00009453187,0.00003640267,0.00008395041,0.0003049025,0.00001256332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009456869,"about_ca_system_score_gemma":0.001099986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002218793,"about_ca_topic_score_gemma":0.0006710192,"domain_scores_codex":[0.9976725,0.00003017104,0.0003905403,0.000515466,0.001023794,0.0003675308],"domain_scores_gemma":[0.9981889,0.00007969662,0.0001767893,0.0009372001,0.0003364543,0.0002809927],"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":[0.0003211165,0.000685583,0.00007050969,0.0001883603,0.0006912236,0.000473134,0.000003392011,6.033211e-8,0.000002700929,0.000006209365,0.9869836,0.0105741],"study_design_scores_gemma":[0.003080296,0.0007445039,0.0003185192,0.000960927,0.001391388,0.00009415372,0.000005900423,2.759412e-7,0.00006653782,0.00003383843,0.9930398,0.0002638068],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008732206,0.004052139,0.00001053241,0.003327049,0.0007066183,0.0004892603,0.9911177,0.0000591056,0.0001502415],"genre_scores_gemma":[0.00002773929,0.007153406,0.00005979654,0.0007895221,0.001331856,0.00006654845,0.9894821,0.00004436742,0.001044646],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01053329,"threshold_uncertainty_score":0.9999768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01815939285268404,"score_gpt":0.4331208991254047,"score_spread":0.4149615062727207,"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."}}