{"id":"W3197885655","doi":"10.2196/26424","title":"Acceptance of an Informational Antituberculosis Chatbot Among Korean Adults: Mixed Methods Research","year":2021,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"AI in Service Interactions","field":"Computer Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Yonsei University","keywords":"Chatbot; Technology acceptance model; Usability; Medicine; Psychological intervention; Focus group; Tuberculosis; Population; Family medicine; Applied psychology; Psychology; Nursing; World Wide Web; Environmental health; Computer science; Pathology; Marketing","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002097873,0.0001367222,0.0002786998,0.0002735186,0.0004402107,0.0001211556,0.0005785408,0.0001127406,0.00004996567],"category_scores_gemma":[0.0001593255,0.0001340992,0.00004673575,0.001151813,0.0001294036,0.001753956,0.000310294,0.0005043503,0.00001362656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001184566,"about_ca_system_score_gemma":0.0008180589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007586471,"about_ca_topic_score_gemma":0.0009990176,"domain_scores_codex":[0.9969986,0.0008090757,0.0006377224,0.0004363137,0.0005536743,0.0005646055],"domain_scores_gemma":[0.9972413,0.0004857551,0.0002545324,0.0007523529,0.0007736713,0.0004923758],"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":[0.0001309414,0.0007945615,0.01312732,0.003394942,0.00004282623,0.00001580615,0.02485282,0.00006694742,0.000277445,0.111152,0.003160645,0.8429837],"study_design_scores_gemma":[0.00114481,0.0006864073,0.8629238,0.00043106,0.00001523704,0.0001048623,0.006749022,0.1102589,0.00446838,0.005951426,0.006853202,0.0004128728],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9667046,0.0004298279,0.02531324,0.004401634,0.0005382724,0.000346957,0.0000241229,0.00009525263,0.002146067],"genre_scores_gemma":[0.8223084,0.0005369373,0.1758784,0.0009759765,0.0001260882,0.00006773452,0.0000359041,0.00001160624,0.00005897832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8497965,"threshold_uncertainty_score":0.5468405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08700425227433473,"score_gpt":0.4793209760361811,"score_spread":0.3923167237618464,"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."}}