{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.5338578,0.002711743,0.009563206,0.03943508,0.007470176,0.02755654,0.006771967,0.007009947,0.00650524],"category_scores_gemma":[0.6134669,0.002776315,0.006902155,0.05027305,0.01286446,0.02090267,0.01259128,0.005761393,0.001139656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02240647,"about_ca_system_score_gemma":0.04174602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006594837,"about_ca_topic_score_gemma":0.009939665,"domain_scores_codex":[0.210729,0.6769584,0.06435382,0.01215672,0.03438285,0.001419166],"domain_scores_gemma":[0.1162216,0.7928164,0.04770227,0.01833087,0.02338306,0.001545731],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"systematic_review","study_design_gemma":"observational","study_design_scores_codex":[0.0006064004,0.0002388109,0.01931884,0.4657264,0.009611175,0.0008185686,0.06505066,0.001194427,0.0007546465,0.06387109,0.01233109,0.3604779],"study_design_scores_gemma":[0.0004934911,0.0009101602,0.01019278,0.770388,0.006798442,0.001414638,0.03178293,0.002204432,0.001348348,0.08472139,0.08929791,0.0004474447],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01058645,0.8423144,0.09034216,0.02091474,0.005584246,0.0150828,0.001180442,0.0002456014,0.01374909],"genre_scores_gemma":[0.1754563,0.4146921,0.3267507,0.0159993,0.003247873,0.06132767,0.001111094,0.0002753133,0.001139785],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4661422,"threshold_uncertainty_score":0.5748364,"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."}}