{"id":"W4396507830","doi":"10.2196/53113","title":"Comparing Attitudes Toward Different Consent Mediums: Semistructured Qualitative Study","year":2024,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Bundesministerium für Bildung und Forschung; Fonds National de la Recherche Luxembourg; European Commission; Université du Luxembourg","keywords":"Infographic; Readability; Informed consent; Vignette; Thematic analysis; Psychology; Comics; Affect (linguistics); Qualitative research; Internet privacy; Computer science; Social psychology; Medicine; Sociology; Artificial intelligence; Alternative medicine","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02962135,0.0007191504,0.001036506,0.001968175,0.006893561,0.003486417,0.001661683,0.001764868,0.003732254],"category_scores_gemma":[0.03488569,0.0009904385,0.0006060769,0.00183726,0.008801274,0.004527136,0.005766845,0.002843222,0.0007368276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004954717,"about_ca_system_score_gemma":0.005210535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004132017,"about_ca_topic_score_gemma":0.006321357,"domain_scores_codex":[0.9778625,0.01672869,0.001105444,0.001387062,0.001238283,0.001677966],"domain_scores_gemma":[0.9533854,0.03562867,0.002872234,0.001228655,0.003859157,0.003025949],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004946301,0.00008728971,0.002626685,0.0001717942,0.000002990256,0.0005584978,0.9909218,0.00003268947,0.001485331,0.0004739317,0.000249188,0.003340274],"study_design_scores_gemma":[0.00001057865,0.0001199935,0.001446125,0.0001582034,0.000003060542,0.0001973394,0.9927878,0.0001316394,0.0006288062,0.0003941321,0.004102219,0.00002011164],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878896,0.0002887742,0.006213072,0.0007224201,0.0000392881,0.001544952,0.0004050294,0.00003749863,0.002859403],"genre_scores_gemma":[0.9863116,0.0005537723,0.006279702,0.0008739222,0.00002167333,0.00346392,0.0002714322,0.00005182182,0.002172175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9703786,"threshold_uncertainty_score":0.1566545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2699523388647115,"score_gpt":0.570727499251626,"score_spread":0.3007751603869145,"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."}}