{"id":"W4387359174","doi":"10.2196/49788","title":"Perspectives of Patients With Chronic Diseases on Future Acceptance of AI–Based Home Care Systems: Cross-Sectional Web-Based Survey Study","year":2023,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cross-sectional study; Web survey; Medicine; Family medicine; Gerontology; World Wide Web; Computer science; Pathology","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":[0.0001291163,0.000176412,0.0003258789,0.000325248,0.000170345,0.00002378089,0.0001153722,0.0000890627,0.0001508408],"category_scores_gemma":[0.00007693287,0.0001342253,0.00008619337,0.0005495867,0.0001408183,0.00008138327,0.00001096236,0.0001902928,0.000009353189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004320296,"about_ca_system_score_gemma":0.0006279857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006625241,"about_ca_topic_score_gemma":0.0009310728,"domain_scores_codex":[0.9982662,0.0001390599,0.0004138763,0.0003367059,0.0006287566,0.000215451],"domain_scores_gemma":[0.9980486,0.0001948936,0.0002233513,0.0003533859,0.001066399,0.0001133807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000524735,0.001001094,0.9931709,0.0005392589,0.00004169007,0.000001334126,0.003955893,0.000510847,0.00002816937,0.00001780084,0.0001333021,0.00007496844],"study_design_scores_gemma":[0.0004535908,0.002889993,0.9805181,0.0001354305,0.00002241087,2.83006e-8,0.01540933,0.00004738331,0.0003804663,0.000002525478,0.0000223634,0.0001183987],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974113,0.0001183441,0.00000284989,0.00002458071,0.0005040455,0.001380923,0.0004679297,0.00007818365,0.00001185236],"genre_scores_gemma":[0.998729,0.000001584796,8.317909e-7,0.00001271974,0.0002562649,0.0001163979,0.0008128118,0.00002784042,0.00004253511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01265283,"threshold_uncertainty_score":0.5473547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08240761653414634,"score_gpt":0.4213008220075128,"score_spread":0.3388932054733664,"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."}}