{"id":"W2573545965","doi":"10.1161/circoutcomes.116.003310","title":"Use of Mixed Methods Research in Research on Coronary Artery Disease, Diabetes Mellitus, and Hypertension","year":2017,"lang":"en","type":"article","venue":"Circulation Cardiovascular Quality and Outcomes","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Libin Cardiovascular Institute of Alberta; University of Calgary; Statistics Canada","funders":"Alberta Innovates - Health Solutions","keywords":"Diabetes mellitus; Medicine; Coronary artery disease; Internal medicine; Cardiology; Original research; Endocrinology; Computer science; Library science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.05128083,0.0001395526,0.0006682693,0.0005937263,0.002191304,0.00007805951,0.0002267803,0.000167306,0.00001654279],"category_scores_gemma":[0.01377356,0.000121397,0.0001602511,0.0003497956,0.0007345328,0.0005345035,0.0003465727,0.0007007199,0.00001588127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001528166,"about_ca_system_score_gemma":0.0003144314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001418174,"about_ca_topic_score_gemma":0.000121459,"domain_scores_codex":[0.977264,0.0191811,0.000908134,0.0005670797,0.001375833,0.0007038148],"domain_scores_gemma":[0.9823514,0.01502035,0.0002156436,0.001421261,0.0006470694,0.000344307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003714817,0.00002605601,0.9546019,0.0005265285,0.00007933428,0.000006539525,0.001113416,0.00004390574,0.0001548152,0.003721794,0.0001187374,0.0395698],"study_design_scores_gemma":[0.0008723121,0.00002257173,0.988657,0.000198816,0.00001905443,6.103447e-7,0.0009929128,0.0003520738,0.00003091171,0.003131876,0.005605509,0.0001163333],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900581,0.0006377517,0.0003778907,0.007323367,0.0002706988,0.001149546,0.0000416945,0.00001845836,0.0001225108],"genre_scores_gemma":[0.9972473,0.0006053125,0.0009827832,0.0009083815,0.00006669398,0.000126848,0.00001084382,0.00001600194,0.00003584411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03945347,"threshold_uncertainty_score":0.9991077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9150183243382827,"score_gpt":0.7221774752005434,"score_spread":0.1928408491377392,"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."}}