{"id":"W3036669094","doi":"10.1200/cci.20.00025","title":"Development of a Data Model and Data Commons for Germ Cell Tumors","year":2020,"lang":"en","type":"article","venue":"JCO Clinical Cancer Informatics","topic":"Testicular diseases and treatments","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"National Institute of General Medical Sciences; National Cancer Institute","keywords":"Data sharing; Terminology; Computer science; Clinical trial; Data science; Data collection; Medicine; Pathology; Alternative medicine","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":[0.04009727,0.001185701,0.001764364,0.006286678,0.002675511,0.009822168,0.007117673,0.003211153,0.005665579],"category_scores_gemma":[0.08408566,0.002118684,0.005392061,0.006552475,0.003085713,0.01613348,0.01226202,0.007573692,0.00364673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005448564,"about_ca_system_score_gemma":0.01700491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01945918,"about_ca_topic_score_gemma":0.01950611,"domain_scores_codex":[0.9715331,0.005688215,0.007311298,0.004694564,0.009766534,0.00100634],"domain_scores_gemma":[0.9356774,0.02348973,0.00359794,0.02225419,0.01232422,0.002656474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00152847,0.0008311797,0.02259938,0.002452337,0.0005594947,0.001525049,0.002864134,0.07500918,0.007870941,0.5044191,0.1602905,0.2200503],"study_design_scores_gemma":[0.0003644249,0.000253674,0.003009362,0.001109429,0.0002257773,0.000758812,0.0006167769,0.2187951,0.01303313,0.2004681,0.561066,0.0002992744],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005565272,0.0002737166,0.9094157,0.005457248,0.0004921338,0.003045138,0.03621222,0.03241638,0.007122061],"genre_scores_gemma":[0.03483703,0.0004230457,0.87839,0.002331579,0.0001526117,0.002793236,0.07438046,0.003493422,0.003198569],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04009727,"threshold_uncertainty_score":0.2120572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4304569192194755,"score_gpt":0.4910865406048862,"score_spread":0.06062962138541073,"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."}}