{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004497343,0.0001374909,0.0008187015,0.0001025219,0.00003280671,0.000002883154,0.0001422295,0.000029083,0.0001247378],"category_scores_gemma":[0.00007400998,0.00005751939,0.0002232785,0.0001399871,0.0009879899,0.00002904179,0.000033215,0.0001530115,0.000003429761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001401518,"about_ca_system_score_gemma":0.000123785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000186971,"about_ca_topic_score_gemma":0.000001019947,"domain_scores_codex":[0.9986113,0.0002803819,0.0005114088,0.0001396459,0.000206432,0.0002508763],"domain_scores_gemma":[0.998113,0.0005800525,0.0007980504,0.0002270891,0.0001379975,0.0001438593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01898617,0.00206865,0.464791,0.0001120585,0.001533926,0.02967393,0.005921881,0.00005006418,0.02895328,0.001613275,0.002507582,0.4437882],"study_design_scores_gemma":[0.04931949,0.06055034,0.7356751,0.001476361,0.002942819,0.08375392,0.004967526,0.00003206775,0.040341,0.006217571,0.01379349,0.0009303284],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9597306,0.001745671,0.0001149327,0.03796122,0.0001034548,0.0001671228,0.00001392762,0.000007519784,0.000155579],"genre_scores_gemma":[0.9962578,0.001867565,0.001112586,0.0005685959,0.00007986981,0.00001189041,8.734492e-7,0.00001553769,0.00008524403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4428579,"threshold_uncertainty_score":0.364029,"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."}}