{"id":"W2010034896","doi":"10.1089/dia.2008.0057","title":"Diabetes Registries: Where We Are and Where Are We Headed?","year":2009,"lang":"en","type":"article","venue":"Diabetes Technology & Therapeutics","topic":"Diabetes Management and Education","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Veterans Affairs; Disease registry; Family medicine; Health care; Medical record; MEDLINE; Electronic medical record; Disease; Medical emergency; Diabetes mellitus; Identification (biology); Gerontology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001899208,0.0004210606,0.0006658224,0.0004973309,0.0001954618,0.00008425096,0.0003128291,0.0005451326,0.00005539646],"category_scores_gemma":[0.00003358295,0.0003890407,0.0001068121,0.0008247607,0.0004441318,0.0001774776,0.0000872381,0.000542518,0.00005463334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000093458,"about_ca_system_score_gemma":0.00004393001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.701639e-7,"about_ca_topic_score_gemma":0.000009959967,"domain_scores_codex":[0.9979159,0.00003682388,0.0003875487,0.0005811527,0.0002511512,0.0008274151],"domain_scores_gemma":[0.9984459,0.00008185579,0.000309871,0.0008681625,0.0001598954,0.0001343475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002259909,0.0004336938,0.7945499,0.000563344,0.0004517002,0.000009567911,0.0002896272,7.668021e-7,0.008358516,0.001393366,0.01962627,0.1743006],"study_design_scores_gemma":[0.002249547,0.001512261,0.1124139,0.002712246,0.001218225,0.000004770535,0.005545739,0.0003464377,0.0203765,0.0223409,0.8303168,0.0009626165],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6985673,0.06158239,0.000009381328,0.2378314,0.0002137813,0.0004778428,0.00001034203,0.0006755485,0.0006320667],"genre_scores_gemma":[0.9703715,0.02056607,0.0006890167,0.005502203,0.0002034923,0.00006596091,0.0000285303,0.00006438984,0.002508865],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8106906,"threshold_uncertainty_score":0.9998562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02338723689456268,"score_gpt":0.2736468116340958,"score_spread":0.2502595747395331,"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."}}