{"id":"W2897938485","doi":"10.1016/j.clgc.2018.10.007","title":"Testicular Cancer Biomarkers: A Role for Precision Medicine in Testicular Cancer","year":2018,"lang":"en","type":"review","venue":"Clinical Genitourinary Cancer","topic":"Testicular diseases and treatments","field":"Medicine","cited_by":59,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Fundação para a Ciência e a Tecnologia","keywords":"Medicine; Testicular cancer; Cancer; Oncology; Disease; Precision medicine; Biomarker; Germ cell tumors; Internal medicine; Prostate cancer; Genitourinary system; Clinical trial; Narrative review; Intensive care medicine; Pathology; Chemotherapy","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":[0.0007295732,0.001171254,0.004405313,0.0004188242,0.000153456,0.00003422338,0.0005058194,0.001018608,0.001164028],"category_scores_gemma":[0.002493259,0.0008064857,0.001748808,0.0009547783,0.0005887244,0.00009984533,0.0002604263,0.0007590694,0.00008818351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001039759,"about_ca_system_score_gemma":0.00304822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001342447,"about_ca_topic_score_gemma":0.0001795147,"domain_scores_codex":[0.9934684,0.0003613278,0.00253591,0.001916494,0.000714083,0.001003759],"domain_scores_gemma":[0.9941432,0.001989827,0.001071205,0.001268319,0.0005576382,0.0009698191],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005818993,0.001410782,0.01203503,0.01227897,0.0025652,0.000854482,0.0000223538,0.000007492611,0.000002301936,0.000002458545,0.01696568,0.9532734],"study_design_scores_gemma":[0.005612942,0.001923211,0.006758632,0.0774382,0.0158259,0.00008668586,0.0000172175,0.0002715026,0.000001798336,0.000137008,0.8911138,0.0008130972],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001185217,0.9890085,0.00003520596,0.000494814,0.002406385,0.005536375,0.001023503,0.0001308553,0.0001791065],"genre_scores_gemma":[0.000198051,0.9817169,0.001122261,0.0005055213,0.006833958,0.007813983,0.0005113202,0.0002734255,0.001024632],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9524602,"threshold_uncertainty_score":0.9997491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1643008847169762,"score_gpt":0.5135315118760754,"score_spread":0.3492306271590992,"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."}}