{"id":"W2118622985","doi":"10.1016/j.jcjd.2013.08.233","title":"Use of WebDR, a Web-Based Diabetes Electronic Medical Record, as a Researchable Database to Identify and Define a Cohort of Patients with Type 1 Diabetes on Insulin Pump Therapy","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Diabetes","topic":"Diabetes Treatment and Management","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Cohort; Medical record; Diabetes mellitus; Type 2 diabetes; Cohort study; Family medicine; Electronic health record; Electronic medical record; Health care; Database; Pediatrics; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00236377,0.0001883086,0.0003677072,0.003060767,0.0004571475,0.001369278,0.0004944045,0.000417986,0.001378846],"category_scores_gemma":[0.01051304,0.0001746118,0.0003415263,0.00244023,0.0001585863,0.001067637,0.0007187914,0.0006462791,0.0004416658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007439113,"about_ca_system_score_gemma":0.001472653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02492061,"about_ca_topic_score_gemma":0.0318797,"domain_scores_codex":[0.9979289,0.0005908047,0.0004087186,0.0003531435,0.0005727817,0.0001456871],"domain_scores_gemma":[0.9910015,0.002735018,0.003096389,0.000841431,0.001489307,0.0008363261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002639246,0.0002540305,0.9893126,0.00003049813,0.00003727178,0.00005548756,0.0002178015,0.00002888359,0.0003162568,0.00006821976,0.0006521263,0.008762734],"study_design_scores_gemma":[0.00006673308,0.0002905295,0.9953751,0.0000350142,0.00009538036,0.0003814323,0.000565191,0.001086486,0.0003744609,0.000063588,0.001648011,0.00001813935],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892596,0.0003479026,0.0005395373,0.0002813465,0.00002937236,0.0001817792,0.006827983,0.00003481295,0.00249771],"genre_scores_gemma":[0.9901842,0.0003973062,0.002671221,0.0003308458,0.00004467065,0.0001497586,0.005050047,0.00001667459,0.001155229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02492061,"threshold_uncertainty_score":0.04955113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01785646092583451,"score_gpt":0.2577385377463046,"score_spread":0.2398820768204701,"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."}}