{"id":"W4390943095","doi":"10.2196/47031","title":"Trust in and Acceptance of Artificial Intelligence Applications in Medicine: Mixed Methods Study","year":2024,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":92,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission; Fraunhofer-Institut für Zelltherapie und Immunologie; University College London","keywords":"Likert scale; Relevance (law); Health technology; Accountability; Scale (ratio); Stakeholder; Health care; Knowledge management; Psychology; Medical education; Computer science; Medicine; Public relations","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":[0.07725608,0.0006656817,0.002685182,0.003776194,0.001644089,0.003464238,0.001537046,0.00157474,0.003830807],"category_scores_gemma":[0.1243856,0.0009569606,0.003938047,0.004011781,0.001507371,0.003096585,0.002761557,0.001278431,0.0005271402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002731962,"about_ca_system_score_gemma":0.004121257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001367068,"about_ca_topic_score_gemma":0.001760965,"domain_scores_codex":[0.9263658,0.04988047,0.01112744,0.003365614,0.007456314,0.001804406],"domain_scores_gemma":[0.7650129,0.1795194,0.03147112,0.007667474,0.01351117,0.002817938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.006617564,0.005283724,0.7721084,0.02682777,0.008340558,0.001266348,0.06370194,0.0005700273,0.001077273,0.004220375,0.002487188,0.1074989],"study_design_scores_gemma":[0.002485122,0.03009124,0.8054699,0.02102966,0.01064782,0.00291592,0.09072424,0.007252574,0.003344568,0.00546065,0.02004929,0.0005291061],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.97074,0.01187125,0.007302934,0.0008091053,0.0001065133,0.005843074,0.0008668847,0.00002780532,0.002432427],"genre_scores_gemma":[0.9799376,0.003140657,0.006215039,0.0008254722,0.0000972548,0.008832096,0.0003537941,0.00001720307,0.0005807012],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07725608,"threshold_uncertainty_score":0.4085741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2466579618029961,"score_gpt":0.5526685501173785,"score_spread":0.3060105883143824,"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."}}