{"id":"W2170198189","doi":"10.2337/dc06-2101","title":"Benefits of Information Technology–Enabled Diabetes Management","year":2007,"lang":"en","type":"article","venue":"Diabetes Care","topic":"Diabetes Management and Education","field":"Medicine","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Ottawa; Kaiser Permanente; Center for Information Technology; Massachusetts General Hospital; Robert Wood Johnson Foundation","keywords":"Medicine; Diabetes management; Disease management; Diabetes mellitus; Health care; Disease; Medical emergency; Intensive care medicine; Type 2 diabetes","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.00227785,0.0005825937,0.0001860886,0.0009000375,0.0003850693,0.001818218,0.0005206535,0.0008166389,0.005664322],"category_scores_gemma":[0.01233252,0.0001663384,0.0007044052,0.001096726,0.0004821562,0.001704554,0.001473441,0.0006771555,0.0002903836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002257947,"about_ca_system_score_gemma":0.002741562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005176126,"about_ca_topic_score_gemma":0.003843407,"domain_scores_codex":[0.9976875,0.001343999,0.00009045369,0.0001157075,0.0005117069,0.0002506875],"domain_scores_gemma":[0.9939765,0.00325721,0.001134361,0.0002986002,0.0009036497,0.0004297671],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001460548,0.002222424,0.2747384,0.00102694,0.001103347,0.0008023778,0.0003431084,0.3146218,0.001914601,0.04343097,0.01619051,0.3421451],"study_design_scores_gemma":[0.001767712,0.00507839,0.3164726,0.002287702,0.002551306,0.002513865,0.003072478,0.4279939,0.008230094,0.1127687,0.1170139,0.000249536],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8193938,0.007633427,0.02041858,0.03109104,0.0003914857,0.0003945949,0.002700056,0.0003615262,0.1176155],"genre_scores_gemma":[0.9943147,0.001017452,0.002906434,0.0005764223,0.00009087306,0.00004913594,0.0002295674,0.00000713078,0.0008081804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005664322,"threshold_uncertainty_score":0.01894903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005649250922249247,"score_gpt":0.2229886952159872,"score_spread":0.2173394442937379,"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."}}