{"id":"W2099777151","doi":"10.1016/s1470-2045(08)70235-3","title":"Prediagnostic body-mass index, plasma C-peptide concentration, and prostate cancer-specific mortality in men with prostate cancer: a long-term survival analysis","year":2008,"lang":"en","type":"article","venue":"The Lancet Oncology","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":425,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Jewish General Hospital","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Cancer Institute; National Heart, Lung, and Blood Institute; National Institutes of Health","keywords":"Prostate cancer; Medicine; Body mass index; Overweight; Hazard ratio; Proportional hazards model; Internal medicine; Cancer; Prostate; Oncology; Gynecology; Confidence interval","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":[0.000406322,0.0003330622,0.001204937,0.00009048021,0.0001781836,0.0000311708,0.0001562272,0.0001176569,0.000101201],"category_scores_gemma":[0.00003148302,0.0002152483,0.00007692721,0.0007335752,0.0005484807,0.000131166,0.00005422578,0.0003663296,0.000004349234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008543899,"about_ca_system_score_gemma":0.0007564647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00251187,"about_ca_topic_score_gemma":0.0143634,"domain_scores_codex":[0.9975839,0.0002563034,0.0004973907,0.0006240045,0.0003565208,0.0006818959],"domain_scores_gemma":[0.9984822,0.0003460959,0.0003021448,0.0004933276,0.0001724241,0.0002038597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002763317,0.0003281815,0.9879304,0.0001043231,0.001471238,0.0009257143,0.002191268,0.001100951,0.0001410832,0.00005959647,0.000923443,0.002060523],"study_design_scores_gemma":[0.009147445,0.0008687578,0.9853522,0.0001578449,0.001020808,0.00005436444,0.0001519618,0.0006389702,0.0006091456,0.00004562485,0.001716551,0.0002363292],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864376,0.004332514,0.00001659584,0.005658336,0.0001511665,0.001971781,0.0002876644,0.00006440948,0.001079948],"genre_scores_gemma":[0.9292866,0.06767072,0.00005894342,0.00036923,0.0003064225,0.001850336,0.0001530017,0.00003012143,0.000274598],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06333821,"threshold_uncertainty_score":0.8777573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03654156562712102,"score_gpt":0.3206869880629975,"score_spread":0.2841454224358765,"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."}}