{"id":"W2183949593","doi":"10.1016/j.surge.2015.09.001","title":"Using a multimedia presentation to improve patient understanding and satisfaction with informed consent for minimally invasive vascular procedures","year":2015,"lang":"en","type":"article","venue":"The Surgeon","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":73,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Informed consent; Medicine; Psychological intervention; Patient satisfaction; Comprehension; Intervention (counseling); Likert scale; Randomized controlled trial; Physical therapy; Patient education; Surgery; Nursing; Psychology; Alternative medicine","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.002003357,0.0003540871,0.0002286259,0.0003640295,0.0004333695,0.0007115066,0.0003224104,0.0008395091,0.01426194],"category_scores_gemma":[0.02403305,0.0001127678,0.0003512716,0.0001502255,0.0001706935,0.001011239,0.0007298548,0.0009709464,0.0008911926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003172483,"about_ca_system_score_gemma":0.0006280962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002587082,"about_ca_topic_score_gemma":0.0005252023,"domain_scores_codex":[0.998973,0.0006781101,0.00007221771,0.00004558982,0.0001483471,0.00008280764],"domain_scores_gemma":[0.9897226,0.00815775,0.0008114183,0.0001918506,0.0005049373,0.0006114014],"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":[0.006527204,0.01516845,0.02771091,0.001970477,0.0001888064,0.00172297,0.01205482,0.001378052,0.0156228,0.00235562,0.05493318,0.8603668],"study_design_scores_gemma":[0.01454287,0.08100752,0.4387684,0.008514303,0.003594317,0.01543676,0.04329099,0.0635492,0.07464346,0.02642299,0.2287357,0.001493397],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9597657,0.001070871,0.009795123,0.006360325,0.0007988895,0.0007916073,0.0002559441,0.0006553861,0.02050605],"genre_scores_gemma":[0.9663787,0.001168721,0.02366932,0.002271089,0.0005192986,0.0007609131,0.0001816912,0.00006551584,0.004984698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01426194,"threshold_uncertainty_score":0.0477109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3599904842013639,"score_gpt":0.4277479156270341,"score_spread":0.0677574314256702,"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."}}