{"id":"W3194108120","doi":"10.1016/j.future.2021.08.015","title":"Empathic conversational agents for real-time monitoring and co-facilitation of patient-centered healthcare","year":2021,"lang":"en","type":"article","venue":"Future Generation Computer Systems","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":66,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Ontario Institute for Cancer Research","keywords":"Computer science; Health care; Facilitation; Mental health; Resource (disambiguation); Mental healthcare; Benchmark (surveying); Psychological intervention; Ambient intelligence; Human–computer interaction; Digital health; Protocol (science); Knowledge management; Nursing; Psychology; Medicine; Psychotherapist","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001745346,0.0001215491,0.000211417,0.00007862209,0.0001164673,0.00006449565,0.00005504143,0.0001071418,0.00003034552],"category_scores_gemma":[0.00000795583,0.0001333812,0.00007384008,0.00009168117,0.00002039425,0.0001352067,0.00002323455,0.00005658342,0.00002908751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008910396,"about_ca_system_score_gemma":0.00005453781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005496245,"about_ca_topic_score_gemma":0.000007071224,"domain_scores_codex":[0.9984581,0.0002573001,0.0005945974,0.000320618,0.0002001491,0.0001692341],"domain_scores_gemma":[0.9990215,0.00006358594,0.0002471183,0.0001976896,0.0003754,0.00009466727],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00059465,0.002453876,0.03598437,0.006766526,0.001212114,0.00005934485,0.05688929,0.001229032,0.009902224,0.1272338,0.6201814,0.1374934],"study_design_scores_gemma":[0.02988404,0.01589334,0.1941763,0.005908567,0.0003769079,0.001053951,0.03731272,0.1032292,0.04392307,0.0005747307,0.5636718,0.003995367],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8797262,0.001893713,0.01856219,0.001385977,0.09570993,0.001395204,0.0009427714,0.00008657396,0.0002974795],"genre_scores_gemma":[0.9824252,0.00001029351,0.003470608,0.00009895255,0.01132489,0.0002193548,0.001461351,0.00002215909,0.0009672246],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1581919,"threshold_uncertainty_score":0.5439126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06032342174105702,"score_gpt":0.3586358314448853,"score_spread":0.2983124097038282,"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."}}