{"id":"W4391623834","doi":"10.2196/50056","title":"Adapting the Number of Questions Based on Detected Psychological Distress for Cognitive Behavioral Therapy With an Embodied Conversational Agent: Comparative Study","year":2024,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Core Research for Evolutional Science and Technology; Japan Science and Technology Agency","keywords":"Embodied cognition; Psychology; Psychotherapist; Distress; Cognition; Psychological distress; Cognitive behavioral therapy; Acceptance and commitment therapy; Cognitive psychology; Cognitive science; Computer science; Neuroscience; Artificial intelligence; Psychiatry; Mental health; Intervention (counseling)","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":[0.005767299,0.0007879077,0.001145792,0.001037583,0.0005509996,0.0008587939,0.001303491,0.0008942815,0.003452288],"category_scores_gemma":[0.0174145,0.000404371,0.0009350998,0.0005290552,0.0007470076,0.001077306,0.0008129563,0.0008890675,0.0005075502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009787575,"about_ca_system_score_gemma":0.0006573714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001848142,"about_ca_topic_score_gemma":0.00188404,"domain_scores_codex":[0.996293,0.002209672,0.0004066474,0.0004061645,0.0004582842,0.0002261603],"domain_scores_gemma":[0.9877946,0.008989016,0.0006992035,0.0008740147,0.001057363,0.0005858377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.04921094,0.3073239,0.04031092,0.006392325,0.00139018,0.0007885996,0.0312707,0.006414832,0.03227052,0.001033125,0.001268924,0.5223251],"study_design_scores_gemma":[0.02986888,0.6197484,0.2487319,0.0007185597,0.003987548,0.001309128,0.01744747,0.03975352,0.02614477,0.001391285,0.01032033,0.0005782893],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963493,0.0002677442,0.001660161,0.00002328432,0.00002069665,0.0009501076,0.00004499441,0.00002024329,0.0006634417],"genre_scores_gemma":[0.9877417,0.0004648426,0.008662377,0.00006681182,0.00004680302,0.002201181,0.0001523548,0.0000172649,0.0006466768],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005767299,"threshold_uncertainty_score":0.03050077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3109579779304678,"score_gpt":0.5913585843874334,"score_spread":0.2804006064569656,"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."}}