{"id":"W4309670939","doi":"10.1016/j.jss.2022.10.089","title":"A Video-Based Consent Tool: Development and Effect of Risk–Benefit Framing on Intention to Randomize","year":2022,"lang":"en","type":"article","venue":"Journal of Surgical Research","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"British Columbia Academic Health Science Network","funders":"Division of Diabetes, Endocrinology, and Metabolic Diseases; National Institute of Diabetes and Digestive and Kidney Diseases; National Institutes of Health; Patient-Centered Outcomes Research Institute; Bristol-Myers Squibb","keywords":"Randomization; Framing (construction); Medicine; Randomized controlled trial; Clinical trial; Informed consent; Confidence interval; Family medicine; Internal medicine; 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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2016984,0.001958855,0.002253424,0.003668024,0.001110655,0.001669342,0.002054529,0.003649572,0.01469994],"category_scores_gemma":[0.4626029,0.001830869,0.002031679,0.001929593,0.001846559,0.00304709,0.001857564,0.003753113,0.001949932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002203832,"about_ca_system_score_gemma":0.003827884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006800056,"about_ca_topic_score_gemma":0.001005336,"domain_scores_codex":[0.759362,0.207318,0.01757242,0.004644162,0.009406908,0.001696506],"domain_scores_gemma":[0.3920277,0.5609736,0.01953005,0.01434464,0.01103316,0.002090873],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.1732859,0.02177673,0.02311761,0.006668553,0.002429001,0.0003351666,0.006609317,0.00883773,0.005689687,0.0144876,0.01865955,0.7181031],"study_design_scores_gemma":[0.3558205,0.1314392,0.1140279,0.005930976,0.007234286,0.0007959718,0.001973415,0.2667839,0.03261936,0.03742146,0.04437379,0.001579353],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3114235,0.001377387,0.362755,0.003267572,0.003470641,0.2981752,0.001904871,0.00418678,0.01343891],"genre_scores_gemma":[0.3847462,0.0003802787,0.3357553,0.0009739127,0.0004495043,0.2746713,0.0003562213,0.0003079879,0.002359271],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7983016,"threshold_uncertainty_score":0.984448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3819333574316877,"score_gpt":0.5705773952992061,"score_spread":0.1886440378675184,"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."}}