{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00117782,0.0009827417,0.001641459,0.004345546,0.0007194662,0.002265421,0.001788688,0.001482091,0.06003252],"category_scores_gemma":[0.0100187,0.0005675125,0.002316914,0.006704413,0.0004093906,0.001352313,0.001795597,0.001600353,0.03285832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001528803,"about_ca_system_score_gemma":0.003183856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01638509,"about_ca_topic_score_gemma":0.02918144,"domain_scores_codex":[0.998406,0.0002290809,0.0005354245,0.0003522955,0.0003006411,0.0001765855],"domain_scores_gemma":[0.994263,0.001626188,0.001352024,0.001211405,0.0012715,0.0002758075],"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":[0.0004025857,0.00002768186,0.00535852,0.01152233,0.000229337,0.0001761899,0.00004451504,0.0003854192,0.0003361124,0.001278197,0.9564648,0.02377426],"study_design_scores_gemma":[0.0005282661,0.00003611434,0.01556391,0.006461024,0.0002809546,0.0007518342,0.00008372321,0.0002804752,0.0004864884,0.001704937,0.97378,0.00004235144],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003406132,0.001137072,0.0001813184,0.0001316308,0.00006339564,0.00008779447,0.9955727,0.0001783334,0.00230721],"genre_scores_gemma":[0.001388301,0.001304988,0.0006448309,0.0003128354,0.00002934855,0.0002800454,0.9945319,0.00006769826,0.001440019],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06003252,"threshold_uncertainty_score":0.2008288,"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."}}