{"id":"W4320916985","doi":"10.3390/curroncol30020178","title":"Underlying Features of Prostate Cancer—Statistics, Risk Factors, and Emerging Methods for Its Diagnosis","year":2023,"lang":"en","type":"review","venue":"Current Oncology","topic":"Prostate Cancer Treatment and Research","field":"Medicine","cited_by":142,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação para a Ciência e a Tecnologia; Agência Regional para o Desenvolvimento da Investigação, Tecnologia e Inovação","keywords":"Medicine; Prostate cancer; Context (archaeology); Cancer; Intensive care medicine; Quality of life (healthcare); Oncology; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000613573,0.0004193457,0.002383533,0.0003956977,0.0001428346,0.00001675265,0.0001301298,0.0002886946,0.00003591388],"category_scores_gemma":[0.001141284,0.0002774594,0.000304166,0.0003396168,0.0001695695,0.00003311049,0.0001418637,0.0006374443,0.000002984229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005262958,"about_ca_system_score_gemma":0.001118584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008004175,"about_ca_topic_score_gemma":0.00006057563,"domain_scores_codex":[0.9977137,0.0004356125,0.0006340083,0.0005450639,0.0001727467,0.0004988126],"domain_scores_gemma":[0.995458,0.003082974,0.0007860406,0.0002112394,0.0002589569,0.0002027788],"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":[0.0000599268,0.0001275951,0.002854377,0.06142804,0.0008381199,0.000008882734,0.0003941038,1.729793e-7,5.900524e-7,0.00008405471,0.004544559,0.9296595],"study_design_scores_gemma":[0.001192659,0.0006810204,0.000505357,0.01121443,0.004123937,0.000007227113,0.0001145914,0.00002298219,0.00002264874,0.00023655,0.9816476,0.0002310513],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00008877848,0.9911392,0.0003848329,0.00009031726,0.001529099,0.003506845,0.003188962,0.00004971007,0.00002229743],"genre_scores_gemma":[0.000005485545,0.9925275,0.002944496,0.00000346858,0.0001879431,0.002631223,0.001070394,0.00008930171,0.0005401925],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.977103,"threshold_uncertainty_score":0.9999678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4655421515719044,"score_gpt":0.619720821106571,"score_spread":0.1541786695346666,"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."}}