{"id":"W2888703671","doi":"10.1016/j.jvs.2018.06.138","title":"Geographic Variation in the Rates of Amputations Across Ontario: A Blueprint for Improvement","year":2018,"lang":"en","type":"article","venue":"Journal of Vascular Surgery","topic":"Peripheral Artery Disease Management","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Sciences Centre; Institute for Clinical Evaluative Sciences; Sunnybrook Health Science Centre; University Health Network; University of Toronto; St. Michael's Hospital","funders":"","keywords":"Medicine; Amputation; Demography; Population; Diabetes mellitus; Dialysis; Diabetic foot; Gerontology; Surgery; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001942695,0.00007742768,0.0002688368,0.0001628679,0.00005072026,0.00002207941,0.00008102252,0.00002675197,0.00004677911],"category_scores_gemma":[0.0001455848,0.00005099643,0.0004225885,0.0001968295,0.00004837709,0.0000994129,0.00002087584,0.00008984732,0.000001285833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008702459,"about_ca_system_score_gemma":0.0001600365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009326856,"about_ca_topic_score_gemma":0.002220625,"domain_scores_codex":[0.9988161,0.00005521007,0.0005513836,0.0000898969,0.0003329263,0.0001544611],"domain_scores_gemma":[0.9989676,0.0001520182,0.0003155736,0.0001850153,0.0003319461,0.00004786586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008949511,0.002275276,0.9392857,0.0004290317,0.001857716,0.00007752282,0.01343659,0.0005066497,0.01142571,0.0002531825,0.001818421,0.02773928],"study_design_scores_gemma":[0.0008836691,0.0002938652,0.9937866,0.0001280648,0.0001594023,0.00001237993,0.0003987732,0.0002357571,0.0003290782,0.0005044284,0.003215841,0.00005218191],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928963,0.00009791978,0.005545055,0.0008729874,0.0002075596,0.0003479448,0.000002773344,0.000002894581,0.0000265615],"genre_scores_gemma":[0.9984941,0.00003172327,0.0007155265,0.0005607642,0.0001453306,0.00002451912,0.000004125382,0.000006912068,0.00001703286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05450089,"threshold_uncertainty_score":0.2079574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02439062355606979,"score_gpt":0.3026721832841811,"score_spread":0.2782815597281113,"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."}}