{"id":"W2024561667","doi":"10.1016/j.cjca.2014.07.354","title":"HEALTH LITERACY, ADVOCACY AND CARDIOVASCULAR DISEASE RISK EDUCATION BY RESIDENT PHYSICIANS FOR PATIENTS USING A MEDICAL APP: DEVELOPMENT, IMPLEMENTATION AND EVALUATION","year":2014,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Calgary Laboratory Services","funders":"","keywords":"Medicine; Health literacy; Disease; Intervention (counseling); Randomized controlled trial; Literacy; Family medicine; Continuing medical education; Patient education; Health care; Physical therapy; Medical education; Nursing; Continuing education; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0115958,0.0007041305,0.001036396,0.001001922,0.001313731,0.001975312,0.001092085,0.001568821,0.003620185],"category_scores_gemma":[0.02765906,0.0008576497,0.001845494,0.0005106761,0.0008429953,0.001617826,0.002572709,0.002473295,0.0006882147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001564816,"about_ca_system_score_gemma":0.007328618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004230073,"about_ca_topic_score_gemma":0.008853366,"domain_scores_codex":[0.9934257,0.002817428,0.0005905855,0.00045765,0.001975511,0.0007331529],"domain_scores_gemma":[0.98388,0.009167546,0.001607407,0.0006762752,0.00232849,0.002340278],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01069124,0.2393187,0.2258605,0.001906866,0.0006030946,0.000498772,0.02315931,0.0006503377,0.002631546,0.0005732609,0.003440421,0.490666],"study_design_scores_gemma":[0.01361636,0.1902545,0.7519819,0.001720214,0.002436471,0.0007390906,0.01698782,0.004857563,0.006996791,0.0009901138,0.009098033,0.0003211623],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940132,0.0001035203,0.0003525787,0.0004891175,0.00003540634,0.002863282,0.00009987537,0.00004335222,0.001999559],"genre_scores_gemma":[0.9682989,0.0006942663,0.01773738,0.0007092468,0.00007012884,0.009252852,0.0003023691,0.00002368984,0.002910988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0115958,"threshold_uncertainty_score":0.06132519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02791778121941931,"score_gpt":0.427100661305202,"score_spread":0.3991828800857827,"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."}}