{"id":"W2107480310","doi":"10.1634/theoncologist.2014-0009","title":"Adolescents and Young Adults With a “Rare” Cancer: Getting Past Semantics to Optimal Care for Patients With Germ Cell Tumors","year":2014,"lang":"en","type":"editorial","venue":"The Oncologist","topic":"Testicular diseases and treatments","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre","funders":"National Cancer Institute; Teenage Cancer Trust","keywords":"Germ cell tumors; Young adult; Germ cell; Medicine; Semantics (computer science); Cancer; Oncology; Internal medicine; Biology; Chemotherapy; Computer science","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"],"consensus_categories":[],"category_scores_codex":[0.00007885337,0.0004724825,0.0006922701,0.00005741399,0.0002712623,0.00006679189,0.0001915712,0.0002447431,0.000003709656],"category_scores_gemma":[0.0002095716,0.0002540204,0.00008941531,0.00009901439,0.0001626685,0.00003015315,0.0001109303,0.0003398939,0.000003876773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000393562,"about_ca_system_score_gemma":0.0005029691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005993776,"about_ca_topic_score_gemma":0.0005888474,"domain_scores_codex":[0.9980101,0.00004440316,0.0002617559,0.0005882097,0.0006227175,0.0004727974],"domain_scores_gemma":[0.9980421,0.000191197,0.0004031928,0.0004371253,0.0006360369,0.000290362],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0135278,0.001300337,0.7111484,0.005220515,0.0004884539,0.0002637818,0.002480607,0.0001280689,0.000001259937,0.000001425752,0.2563603,0.009079098],"study_design_scores_gemma":[0.07644541,0.04682929,0.4636195,0.02878705,0.01443665,0.00004009503,0.004634534,0.0003091097,0.00004463027,0.000006100463,0.3620497,0.002797865],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.864056,0.001580599,0.0001592615,0.0002775209,0.1231186,0.007688993,0.002683138,0.0001681811,0.0002677148],"genre_scores_gemma":[0.8738168,0.00005706791,0.001279432,0.0001106046,0.1225593,0.0005423367,0.001274146,0.0001206257,0.0002395967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2475289,"threshold_uncertainty_score":0.9999912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004093347523698311,"score_gpt":0.2515041690484088,"score_spread":0.2474108215247105,"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."}}