{"id":"W3158606818","doi":"10.1007/s41666-022-00118-x","title":"Auto Response Generation in Online Medical Chat Services","year":2022,"lang":"en","type":"article","venue":"Journal of Healthcare Informatics Research","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"Mitacs","keywords":"Telehealth; Robustness (evolution); Computer science; Cluster analysis; Coronavirus disease 2019 (COVID-19); Machine learning; Artificial intelligence; Telemedicine; World Wide Web; Multimedia; Medicine; Health care","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003536582,0.0004635453,0.000363143,0.000784786,0.0006572502,0.001393066,0.0007750253,0.001234908,0.01343387],"category_scores_gemma":[0.02256572,0.0002485595,0.0002614851,0.0003322234,0.0003266225,0.001162968,0.001239649,0.0007020011,0.002228934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004229124,"about_ca_system_score_gemma":0.0006872729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001076568,"about_ca_topic_score_gemma":0.001036346,"domain_scores_codex":[0.9964573,0.00243703,0.0001175505,0.0002788704,0.0004659763,0.0002431713],"domain_scores_gemma":[0.9621851,0.03218719,0.001088214,0.001784967,0.001943148,0.0008113885],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0172265,0.006464788,0.1506812,0.0008256018,0.0002165797,0.003350699,0.01195262,0.0230396,0.04954147,0.01203609,0.01504134,0.7096235],"study_design_scores_gemma":[0.0006517829,0.004944724,0.08385709,0.0003261208,0.0003335652,0.003209278,0.009507777,0.8064477,0.05787124,0.02221731,0.01042334,0.0002101582],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9510501,0.00012327,0.03556455,0.0004057641,0.0001470811,0.0003752761,0.0002024585,0.002661807,0.009469813],"genre_scores_gemma":[0.9884452,0.00002440444,0.007818911,0.0001451185,0.00003180275,0.00009564562,0.000115746,0.0001047365,0.003218431],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01343387,"threshold_uncertainty_score":0.04494077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1928242768846095,"score_gpt":0.551804997462196,"score_spread":0.3589807205775865,"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."}}