{"id":"W4390890119","doi":"10.2196/49647","title":"Physicians’ and Patients’ Expectations From Digital Agents for Consultations: Interview Study Among Physicians and Patients","year":2024,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Family medicine; Medicine; Psychology","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":[0.007895961,0.0002609379,0.000449625,0.0008720422,0.004017972,0.002820831,0.0005423532,0.00180333,0.002697714],"category_scores_gemma":[0.025587,0.0005373724,0.0003458437,0.0007629636,0.002556744,0.0018583,0.002009067,0.002412101,0.000328771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002789274,"about_ca_system_score_gemma":0.002569698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005919663,"about_ca_topic_score_gemma":0.008118658,"domain_scores_codex":[0.9916082,0.006085868,0.000379508,0.0003851177,0.0005127929,0.001028573],"domain_scores_gemma":[0.9782948,0.01674502,0.002108956,0.0002297543,0.0009614917,0.001659872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001344524,0.0002935031,0.03401237,0.0001667934,0.00001137453,0.0009793966,0.9573192,0.00007108168,0.0007682198,0.0004620544,0.000600763,0.005180842],"study_design_scores_gemma":[0.0000380858,0.0003726234,0.01804825,0.0001228479,0.0000145304,0.0006048267,0.975271,0.0002438464,0.0003183106,0.0001424745,0.004793685,0.00002959098],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974601,0.0001665647,0.000260277,0.000792221,0.000007487544,0.00006748829,0.00004023286,0.000003201013,0.001202515],"genre_scores_gemma":[0.9981665,0.0002526629,0.0004147137,0.0006387262,0.0000119728,0.0001255239,0.0000210659,0.000002674986,0.0003661615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007895961,"threshold_uncertainty_score":0.04175836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05156579840517644,"score_gpt":0.385805550692393,"score_spread":0.3342397522872166,"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."}}