{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002367201,0.0001031615,0.0003568128,0.00001337783,0.0000396733,0.00001247103,0.0003356861,0.00005043717,0.0000110979],"category_scores_gemma":[0.000365528,0.00007839708,0.00003847888,0.00005641822,0.00006132155,0.0002005016,0.0006507061,0.00009817729,0.000004489153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001442282,"about_ca_system_score_gemma":0.0007123279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006980622,"about_ca_topic_score_gemma":0.00002072511,"domain_scores_codex":[0.9986261,0.000006654077,0.0008968817,0.0001553375,0.0001834043,0.0001315986],"domain_scores_gemma":[0.9984357,0.0001770586,0.0002912768,0.0007467323,0.00006263262,0.0002866217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001934183,0.002251952,0.3242472,0.009645064,0.001151265,0.00002050505,0.006148327,0.0005687131,0.00002160735,0.0002736028,0.06812461,0.585613],"study_design_scores_gemma":[0.005139619,0.000240312,0.01848257,0.0001676882,0.0007682756,0.000002267544,0.0003510895,0.937457,0.00003761895,0.00004019363,0.03714968,0.0001637358],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9414989,0.001759621,0.04096206,0.002478753,0.0001288662,0.002074202,0.009852287,0.0000947386,0.001150599],"genre_scores_gemma":[0.7028079,0.0002247416,0.2916207,0.002689464,0.00008299092,0.00002830333,0.002496928,0.00001776382,0.00003121679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9368882,"threshold_uncertainty_score":0.319694,"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."}}