{"id":"W2926366041","doi":"10.5539/jel.v8n3p35","title":"What Skills Really Improve After a Flipped Educational Intervention to Train Medical Students and Residents to Break Bad News?","year":2019,"lang":"en","type":"article","venue":"Journal of Education and Learning","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Checklist; Blended learning; Medical education; Intervention (counseling); Empathy; Psychology; Continuing medical education; Medicine; Educational technology; Nursing; Mathematics education; Continuing education; Social psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001195775,0.0003993743,0.000516801,0.0002971245,0.0002692131,0.0002691538,0.0003376451,0.0006749906,0.002334105],"category_scores_gemma":[0.00539675,0.0001815091,0.0003913752,0.0001495981,0.0002991628,0.0004360541,0.0003538213,0.0005617801,0.0003416188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002517216,"about_ca_system_score_gemma":0.0005159402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000651361,"about_ca_topic_score_gemma":0.00130372,"domain_scores_codex":[0.9993905,0.0002224407,0.00004444171,0.00009514638,0.0001157383,0.0001317944],"domain_scores_gemma":[0.9981699,0.0007456749,0.0004074069,0.0001072484,0.0001433168,0.0004264582],"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":[0.03002493,0.1629675,0.02796555,0.002037903,0.0003504357,0.0003024486,0.002247563,0.0005929245,0.02337069,0.00009958184,0.001910661,0.7481297],"study_design_scores_gemma":[0.009531689,0.4039037,0.5626229,0.0004976383,0.0006128114,0.0002920646,0.001782731,0.001039833,0.01571136,0.0002002106,0.003724715,0.00008038527],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984893,0.0002191705,0.0002005931,0.0001178979,0.00006004407,0.0003422686,0.00002472426,0.00001799658,0.0005280562],"genre_scores_gemma":[0.994427,0.0005232204,0.002828409,0.0002146045,0.0001106262,0.0007843517,0.00009028457,0.000005251184,0.001016269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002334105,"threshold_uncertainty_score":0.007808387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04063268030712749,"score_gpt":0.4604257251088549,"score_spread":0.4197930448017274,"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."}}