{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005685478,0.0002733046,0.0006544773,0.000323376,0.0001485237,0.00004452108,0.001857073,0.00007372908,0.0006385419],"category_scores_gemma":[0.002934499,0.0001675037,0.00002900837,0.0006498836,0.0004025997,0.0004346264,0.0002768658,0.0006648721,0.0001982987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000906092,"about_ca_system_score_gemma":0.0001492747,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02434782,"about_ca_topic_score_gemma":0.02326215,"domain_scores_codex":[0.9968982,0.001032768,0.0004998103,0.0004669196,0.0005290623,0.0005732393],"domain_scores_gemma":[0.9934741,0.002514699,0.000155131,0.003506023,0.00009717878,0.0002529268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005915654,0.0005703297,0.8065057,0.0007309272,0.0003553469,0.00001456709,0.08126349,0.000001894442,0.0002109532,0.003334989,0.1019697,0.004982897],"study_design_scores_gemma":[0.00368173,0.0007907947,0.8911157,0.0009672389,0.0003126468,0.000001363943,0.07577016,0.004680976,0.000005005177,0.004485722,0.01786686,0.0003217506],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9489025,0.001168986,0.00002119685,0.02769254,0.0006040726,0.001220453,0.0003508124,0.00003174409,0.02000768],"genre_scores_gemma":[0.9790698,0.00004731739,0.0002212438,0.005063753,0.0002206048,0.00003663452,0.01477552,0.000026864,0.0005383139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08461002,"threshold_uncertainty_score":0.9945608,"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."}}