{"id":"W3175088024","doi":"10.1002/pros.24184","title":"Increasing rates of NCCN high and very high‐risk prostate cancer versus number of prostate biopsy cores","year":2021,"lang":"en","type":"article","venue":"The Prostate","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Prostate cancer; Medicine; Prostate; Biopsy; Prostate biopsy; Urology; Cancer; Epidemiology; Internal 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001951009,0.0001292122,0.000170314,0.001023351,0.0001762018,0.0004932713,0.0004864833,0.0003318464,0.002450451],"category_scores_gemma":[0.007789955,0.0001344081,0.000382747,0.001278084,0.000300165,0.0005763755,0.0004584045,0.0004934432,0.0002542841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000487912,"about_ca_system_score_gemma":0.0003615392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003379449,"about_ca_topic_score_gemma":0.005610954,"domain_scores_codex":[0.9981942,0.0006084397,0.0001804874,0.0003635951,0.0005047,0.0001486414],"domain_scores_gemma":[0.9904992,0.002799448,0.004883562,0.0004211801,0.0007561144,0.0006405385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008438349,0.000007725072,0.9968167,0.00001786542,0.00004526581,0.0000196789,0.00001735076,0.0001387241,0.00009791383,0.00004323382,0.0002096088,0.002501537],"study_design_scores_gemma":[0.000003901177,0.0000403277,0.9989089,0.000009480789,0.00002377325,0.0002538661,0.00004783638,0.0002969536,0.0001122614,0.00004627136,0.0002528405,0.000003669157],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932708,0.002280622,0.000517052,0.0002082955,0.0000211741,0.00001710416,0.001303914,0.00002009642,0.002360975],"genre_scores_gemma":[0.9987867,0.0001684423,0.0002407513,0.00003357886,0.0000203636,0.000006830409,0.0005936485,0.000002466541,0.0001471351],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003379449,"threshold_uncertainty_score":0.01031804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01807865185716966,"score_gpt":0.3028246399091865,"score_spread":0.2847459880520168,"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."}}