{"id":"W2147244538","doi":"10.1177/193229681100500229","title":"Self-Monitoring Technologies for Type 2 Diabetes and the Prevention of Cardiovascular Complications: Perspectives from End Users","year":2011,"lang":"en","type":"article","venue":"Journal of Diabetes Science and Technology","topic":"Diabetes Management and Education","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lawson Health Research Institute","funders":"Canadian Institutes of Health Research","keywords":"Dieticians; Focus group; Medicine; Qualitative research; Type 2 Diabetes Mellitus; Health care; Self-monitoring; Glucose meter; Nursing; Diabetes mellitus; Medical education; Psychology; Business","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.00632763,0.0002639926,0.0003235401,0.0005416509,0.001954809,0.002641295,0.0004105647,0.001234256,0.00254053],"category_scores_gemma":[0.008465957,0.0002276562,0.0004021009,0.0005505051,0.0009911489,0.002521448,0.001825878,0.001448587,0.0002531771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006348701,"about_ca_system_score_gemma":0.001445352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001893987,"about_ca_topic_score_gemma":0.002504053,"domain_scores_codex":[0.9955792,0.003277728,0.0001684732,0.0001150111,0.000444596,0.0004149623],"domain_scores_gemma":[0.984744,0.01142785,0.001098426,0.0001752853,0.001296625,0.001257777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000202074,0.0006209668,0.1780621,0.001182031,0.00004213121,0.00159396,0.7252265,0.00007443103,0.001281202,0.001075118,0.003947758,0.08669186],"study_design_scores_gemma":[0.00004607138,0.001499217,0.07861786,0.001334022,0.00009408927,0.002546268,0.8729549,0.0002995911,0.0008611507,0.0006643911,0.04102253,0.0000599273],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.980586,0.003616162,0.0007825449,0.008078365,0.00006554337,0.00005070057,0.0000732938,0.00001093409,0.006736512],"genre_scores_gemma":[0.9909369,0.004329014,0.0007684162,0.002661186,0.0000744066,0.00007735306,0.00003960046,0.00000614939,0.00110693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00632763,"threshold_uncertainty_score":0.03346407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03065114906034053,"score_gpt":0.2803680672769572,"score_spread":0.2497169182166167,"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."}}