{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002292523,0.0008422069,0.002110136,0.002770514,0.0003580874,0.002404951,0.001079348,0.001891089,0.004817283],"category_scores_gemma":[0.004742192,0.0002901941,0.001078184,0.002441018,0.001147157,0.001980564,0.00116972,0.002668347,0.001170281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001296428,"about_ca_system_score_gemma":0.003639761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002097629,"about_ca_topic_score_gemma":0.004069046,"domain_scores_codex":[0.9991789,0.0002440628,0.0001212482,0.0001419402,0.0002537058,0.00006012808],"domain_scores_gemma":[0.995814,0.002854709,0.0003969588,0.0000982915,0.000717029,0.000118937],"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":[0.0001072863,0.00005797908,0.001021507,0.02293012,0.0003063301,0.0002303963,0.00008568294,0.0004831631,0.000652422,0.01107966,0.05242914,0.9106163],"study_design_scores_gemma":[0.00003978387,0.0001114133,0.001623321,0.0122027,0.0004851514,0.0009152726,0.00014139,0.0002392046,0.0004067071,0.007528321,0.9762639,0.0000428741],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0000747874,0.9972088,0.0001777403,0.001399855,0.0003642953,0.000004057283,0.00004057792,0.00001036907,0.0007195555],"genre_scores_gemma":[0.00181942,0.9945551,0.0005399108,0.001821641,0.0007876041,0.000008940297,0.00005889728,0.000003311397,0.0004051276],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004817283,"threshold_uncertainty_score":0.01611543,"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."}}