{"id":"W4318253665","doi":"10.2337/cd22-0090","title":"Effectiveness of RADAR: An Innovative Model to Organize Diabetes Care in First Nations Communities","year":2023,"lang":"en","type":"article","venue":"Clinical Diabetes","topic":"Diabetes Management and Education","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alliance for Canadian Health Outcomes Research in Diabetes; University of Calgary; University of Alberta","funders":"Lawson Foundation; Canadian Institutes of Health Research; Alberta Innovates; Alberta Innovates - Health Solutions","keywords":"Medicine; Diabetes mellitus; Primary care; Diabetes management; Radar; Health care; Disease; Type 2 diabetes; Disease management; Family medicine; Nursing; Internal medicine; Economic growth","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0286772,0.000577213,0.0003889674,0.001560791,0.003189692,0.003691192,0.002372108,0.000748101,0.004510745],"category_scores_gemma":[0.02480842,0.0003040666,0.0006663552,0.0009115739,0.001872141,0.002903623,0.005723793,0.00131487,0.0005381841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01175856,"about_ca_system_score_gemma":0.03792919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07442307,"about_ca_topic_score_gemma":0.1534842,"domain_scores_codex":[0.9733974,0.01958422,0.0005976455,0.001101107,0.003748349,0.001571397],"domain_scores_gemma":[0.9839075,0.00611515,0.001979158,0.002163845,0.001693072,0.004141268],"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":[0.0006970442,0.01014861,0.06919592,0.0008098994,0.0002454961,0.0002768156,0.02426806,0.005603424,0.001893233,0.01170074,0.01946956,0.8556911],"study_design_scores_gemma":[0.004303118,0.02630992,0.5446359,0.004114323,0.001198542,0.001427117,0.07414898,0.03605399,0.00602203,0.02097345,0.2800539,0.0007587767],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8193076,0.00126175,0.03063993,0.04145392,0.0004104824,0.005630092,0.0005572443,0.001060786,0.09967811],"genre_scores_gemma":[0.8969825,0.0009417159,0.08909818,0.003913744,0.0001740204,0.002139204,0.0003367505,0.0000768059,0.006337077],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07442307,"threshold_uncertainty_score":0.1516614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05971675386190094,"score_gpt":0.3771619450481275,"score_spread":0.3174451911862265,"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."}}