{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000455639,0.0003399483,0.0007308936,0.00006636723,0.0001565517,0.00004324934,0.0001019513,0.00007573848,0.0001391351],"category_scores_gemma":[0.0002378701,0.0002282059,0.000120257,0.000427559,0.0004875518,0.0001531182,0.0001853175,0.0002423653,0.0000108121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001296947,"about_ca_system_score_gemma":0.0004703612,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006847722,"about_ca_topic_score_gemma":0.0001593376,"domain_scores_codex":[0.9978242,0.0002067153,0.0006404427,0.0004822315,0.0003841205,0.0004622738],"domain_scores_gemma":[0.9977855,0.0005130247,0.0005050438,0.0005386308,0.0004951251,0.0001626455],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.009295532,0.0005169315,0.943574,0.000878823,0.00120856,0.0002084068,0.004144773,0.00008077248,0.01385034,0.0006814334,0.0004505284,0.0251099],"study_design_scores_gemma":[0.01537819,0.001165389,0.525997,0.001551213,0.001535633,0.0001980021,0.001311292,0.0001180942,0.4479915,0.002622806,0.001650736,0.0004801278],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988947,0.006224104,0.000001927108,0.001989955,0.0003823678,0.001107665,0.001082405,0.00004387693,0.000220724],"genre_scores_gemma":[0.9737098,0.02422923,0.0009143815,0.0001075306,0.0000727,0.0002459502,0.0001470903,0.00005988278,0.0005134696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4341412,"threshold_uncertainty_score":0.9997658,"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."}}