{"id":"W2520005590","doi":"10.1097/pas.0000000000000736","title":"Histologic Grading of Prostatic Adenocarcinoma Can Be Further Optimized","year":2016,"lang":"en","type":"article","venue":"The American Journal of Surgical Pathology","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":132,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Cancer Institute","keywords":"Cribriform; Prostatectomy; Medicine; Grading (engineering); Prostate cancer; Proportional hazards model; Carcinoma; Prostate; Biochemical recurrence; Tissue microarray; Pathology; Stromal cell; Overdiagnosis; Retrospective cohort study; Oncology; Cancer; Internal medicine; Biology","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":[0.002976661,0.000341716,0.0004226255,0.001058731,0.0002136994,0.001113113,0.0003292092,0.0001794992,0.001633024],"category_scores_gemma":[0.005874549,0.0001687602,0.0004665707,0.001201015,0.0002880122,0.0004326653,0.0005465892,0.0003367014,0.001259151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005757202,"about_ca_system_score_gemma":0.0006397789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002442382,"about_ca_topic_score_gemma":0.005737559,"domain_scores_codex":[0.9982357,0.0007068778,0.0002326791,0.0001568477,0.00057396,0.00009392699],"domain_scores_gemma":[0.9980757,0.0003900404,0.0004414556,0.000413666,0.0005808776,0.00009831398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000623544,0.00009484007,0.2715993,0.0006470828,0.0002442597,0.0002806522,0.0002728938,0.003566764,0.03874036,0.003584591,0.007025261,0.6733204],"study_design_scores_gemma":[0.00009377332,0.0008219351,0.8681363,0.0005045885,0.0005845292,0.003768845,0.0005206716,0.01324293,0.02651859,0.009845662,0.07585167,0.0001104596],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7649184,0.02831659,0.1345166,0.005723175,0.0009940573,0.0004496914,0.002529132,0.00185478,0.06069762],"genre_scores_gemma":[0.9390927,0.005313428,0.04843613,0.0006683996,0.0002143023,0.00006659829,0.001446895,0.0001751091,0.004586454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002976661,"threshold_uncertainty_score":0.01574224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02528462003516368,"score_gpt":0.2828847197337817,"score_spread":0.257600099698618,"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."}}