{"id":"W1982772352","doi":"10.1016/j.jocd.2011.06.007","title":"Clinical Risk Factors for Fracture in Diabetes: A Matched Cohort Analysis","year":2011,"lang":"en","type":"article","venue":"Journal of Clinical Densitometry","topic":"Bone health and osteoporosis research","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; McMaster University; University of Manitoba; Western University","funders":"Canadian Institutes of Health Research","keywords":"Medicine; CRFS; Diabetes mellitus; Hazard ratio; Internal medicine; Confidence interval; Cohort study; Risk factor; Cohort; Osteoporosis; Type 2 diabetes; Endocrinology; Conditional random field","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.01230466,0.0002050471,0.00264993,0.001186042,0.00005658023,0.00001896387,0.0002469769,0.0007241062,0.0002749745],"category_scores_gemma":[0.02211555,0.0001383769,0.002089199,0.001631383,0.0001877446,0.0001267556,0.00005305088,0.002509266,0.000018605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006478903,"about_ca_system_score_gemma":0.000520564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007896511,"about_ca_topic_score_gemma":0.00004215166,"domain_scores_codex":[0.9934701,0.000649768,0.004148885,0.0003632933,0.0008188342,0.0005491731],"domain_scores_gemma":[0.9894871,0.006315019,0.001651177,0.0004631803,0.0008908345,0.001192675],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00198725,0.001180465,0.9876562,0.00007874243,0.001767944,0.00008923603,0.00008830352,0.000002454581,0.000008435922,0.000001110774,0.002133506,0.005006377],"study_design_scores_gemma":[0.00388088,0.002479359,0.9889792,0.00009063941,0.002127894,0.000008693559,0.0002135302,0.000356704,0.0001180163,0.0001300366,0.001489392,0.0001256863],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970341,0.0004038486,0.0007008864,0.0004531959,0.0007751286,0.0004512229,0.00001459164,0.00001272179,0.0001542421],"genre_scores_gemma":[0.9902842,0.00116265,0.006034707,0.001465468,0.0009104891,0.000004743629,0.000009750439,0.00002799114,0.00009999757],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009810888,"threshold_uncertainty_score":0.999792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1277670310350882,"score_gpt":0.4808739503227937,"score_spread":0.3531069192877055,"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."}}