{"id":"W4410416321","doi":"10.2196/preprints.77501","title":"Listening to Patients Voices: Examining Public Attitudes towards Use of AI in Healthcare (Preprint)","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preprint; Active listening; Health care; Psychology; Political science; Computer science; Communication; Law; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.008022533,0.0001589401,0.0002781309,0.001177295,0.002103511,0.003247761,0.0008214692,0.001079149,0.004474754],"category_scores_gemma":[0.03505259,0.0002652538,0.0006345354,0.001369819,0.002259153,0.001978416,0.002097863,0.001457084,0.000437965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009850391,"about_ca_system_score_gemma":0.01409961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3403873,"about_ca_topic_score_gemma":0.3873775,"domain_scores_codex":[0.9960648,0.0011699,0.0003683217,0.0002104623,0.001282991,0.000903522],"domain_scores_gemma":[0.9763852,0.008481993,0.007173998,0.0005764044,0.004288929,0.003093515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000208089,0.0002402587,0.8288862,0.0005112157,0.00006732289,0.000236414,0.1116493,0.00006034882,0.0003133011,0.0004324825,0.009695384,0.04769964],"study_design_scores_gemma":[0.00002072329,0.0001787632,0.7989483,0.0006132786,0.00006261849,0.0001310467,0.1902216,0.0001599621,0.0001561945,0.0002087643,0.009250054,0.00004858142],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9816276,0.0007631224,0.0001404772,0.008220548,0.00007327131,0.0001305806,0.0006405836,0.00001074534,0.008392923],"genre_scores_gemma":[0.9948337,0.00100948,0.0002025164,0.002553604,0.0000548729,0.0001138839,0.000277412,0.000006069635,0.0009483592],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3403873,"threshold_uncertainty_score":0.6768121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3364380147432991,"score_gpt":0.4682459996672223,"score_spread":0.1318079849239232,"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."}}