{"id":"W2160958263","doi":"10.2337/dc11-0006","title":"Effect of Computer-Generated Tailored Feedback on Glycemic Control in People With Diabetes in the Community","year":2011,"lang":"en","type":"article","venue":"Diabetes Care","topic":"Diabetes Management and Education","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Joseph’s Healthcare Hamilton; Programs for Assessment of Technology in Health Research Institute; Health Sciences Centre; Hamilton Health Sciences; Hamilton General Hospital; Juravinski Hospital; McMaster University","funders":"Canadian Institutes of Health Research","keywords":"Glycemic; Medicine; Diabetes mellitus; Glycated hemoglobin; Diabetes management; Physical therapy; Quality of life (healthcare); Type 2 diabetes; Self-management; Research design; Intervention (counseling); Gerontology; Nursing; Endocrinology","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":[0.002263826,0.0006548978,0.0006614578,0.0005827189,0.0003738788,0.000562585,0.0005132601,0.0008749291,0.005449769],"category_scores_gemma":[0.01613658,0.0002058908,0.0007124702,0.0003769806,0.00028831,0.0003751084,0.0006444292,0.000615076,0.0002278158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006737052,"about_ca_system_score_gemma":0.001210383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007304486,"about_ca_topic_score_gemma":0.006219152,"domain_scores_codex":[0.9979645,0.001212975,0.0001265881,0.0001823865,0.0003457595,0.0001678182],"domain_scores_gemma":[0.9940632,0.003550776,0.0009201628,0.0001671803,0.0002953505,0.001003432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.1403481,0.1039648,0.05808948,0.003749399,0.001645721,0.0003051574,0.001831804,0.003110928,0.003366547,0.00009822606,0.002906846,0.680583],"study_design_scores_gemma":[0.1382792,0.2985588,0.5375897,0.00212962,0.00337566,0.0003679221,0.00195839,0.01014836,0.003015823,0.0005105856,0.003901799,0.0001642124],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967542,0.0005453335,0.0001813816,0.0003509284,0.00006967063,0.0006187107,0.00009080067,0.00005729218,0.001331625],"genre_scores_gemma":[0.9974745,0.0003927526,0.001077133,0.0002158598,0.00005989845,0.0004032913,0.00006423984,0.000003005105,0.0003093211],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007304486,"threshold_uncertainty_score":0.01823133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01097104420584402,"score_gpt":0.2259294432611381,"score_spread":0.2149583990552941,"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."}}