{"id":"W4238960738","doi":"10.1515/iupac.88.1399","title":"Teratocarcinoma","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Ovarian 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; Terminology; Relation (database); Computer science; Linguistics; Philosophy; Data mining","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":[0.0002096321,0.0004700852,0.0009725105,0.0001670395,0.0001863267,0.0001210712,0.0002706859,0.0003639084,0.003732911],"category_scores_gemma":[0.000223589,0.0003667688,0.0003050696,0.0000636311,0.0001286015,0.00005596927,0.0001253506,0.0005062401,0.00001376091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006995102,"about_ca_system_score_gemma":0.001675502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003558721,"about_ca_topic_score_gemma":0.0006100408,"domain_scores_codex":[0.9976907,0.00002870083,0.0003693131,0.0006040534,0.0009226747,0.0003845412],"domain_scores_gemma":[0.9971419,0.00003640974,0.0002868229,0.001863027,0.0003665387,0.0003053239],"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":[0.0002565059,0.0007783035,0.0007568905,0.0002949088,0.0004525176,0.001561539,0.000006386722,1.221625e-7,6.949161e-7,0.000003752358,0.9903404,0.005547991],"study_design_scores_gemma":[0.003181557,0.0008940377,0.005238647,0.0009634823,0.001043332,0.0001334035,0.000006200214,0.000001762146,0.00002019177,0.00002484871,0.9881849,0.0003076801],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002539288,0.002785994,0.000003599973,0.002757435,0.0008811966,0.0006303915,0.9924028,0.00004716963,0.0002375053],"genre_scores_gemma":[0.0003306913,0.001650949,0.00008523859,0.0008110978,0.001746292,0.00006736034,0.9945362,0.00004760332,0.000724574],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.00524031,"threshold_uncertainty_score":0.9998784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02471962620641973,"score_gpt":0.4512089959790612,"score_spread":0.4264893697726415,"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."}}