{"id":"W2973050319","doi":"10.1111/dme.14129","title":"When qualitative data contradict quantitative data: diabetes distress in the Chinese‐Canadian community","year":2019,"lang":"en","type":"article","venue":"Diabetic Medicine","topic":"Diabetes Management and Education","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Distress; Medicine; Diabetes mellitus; Qualitative research; Ethnic group; Type 2 diabetes; Research design; Clinical psychology; Gerontology; Family medicine","routes":{"ca_aff":true,"ca_fund":false,"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":[0.1325045,0.001225616,0.001710276,0.008645853,0.01407759,0.009889945,0.003296637,0.00222836,0.00498515],"category_scores_gemma":[0.1711124,0.001028595,0.0008978058,0.0162217,0.01451762,0.004360877,0.006928273,0.002097548,0.0003413073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06064143,"about_ca_system_score_gemma":0.08830149,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.655234,"about_ca_topic_score_gemma":0.7000316,"domain_scores_codex":[0.8848343,0.06350981,0.007938466,0.007132352,0.02764349,0.00894161],"domain_scores_gemma":[0.7962652,0.1143319,0.013536,0.008268149,0.06523736,0.002361305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002975065,0.00004786735,0.03682807,0.007049313,0.000217876,0.001318907,0.8778675,0.0002539094,0.001823841,0.01201485,0.008565087,0.05371517],"study_design_scores_gemma":[0.00005900464,0.0000626143,0.02595388,0.006354426,0.0001580507,0.0003424459,0.9244781,0.0005629368,0.0007789166,0.003615639,0.03749509,0.0001389371],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7553312,0.0146068,0.0400137,0.06291905,0.003193465,0.01592592,0.01350695,0.0003083034,0.09419464],"genre_scores_gemma":[0.9585536,0.002463843,0.01735194,0.008475443,0.0001357813,0.009568131,0.0009959016,0.00007360033,0.002381814],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.344766,"threshold_uncertainty_score":0.7007593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1131287995289818,"score_gpt":0.3923786531375429,"score_spread":0.279249853608561,"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."}}