{"id":"W4317765709","doi":"10.2196/43052","title":"A Mental Health and Well-Being Chatbot: User Event Log Analysis","year":2023,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Interreg; Munster Technological University; Luleå Tekniska Universitet; Ulster University; Itä-Suomen Yliopisto","keywords":"Chatbot; Cluster analysis; Computer science; World Wide Web; Mental health; Digital health; Mood; User experience design; mHealth; Psychology; Internet privacy; Psychological intervention; Human–computer interaction; Health care; Social psychology; Artificial intelligence","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":[0.001372333,0.000445495,0.0004725113,0.002807188,0.00045728,0.0009150495,0.0004743347,0.0004048701,0.001739542],"category_scores_gemma":[0.005149468,0.0001663067,0.0004064863,0.001655362,0.0002213083,0.0005705033,0.0008084757,0.0004647373,0.0009153167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004147281,"about_ca_system_score_gemma":0.0005640801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002897354,"about_ca_topic_score_gemma":0.004759541,"domain_scores_codex":[0.9991466,0.0002644589,0.00009492098,0.0001662553,0.0002561916,0.00007151358],"domain_scores_gemma":[0.9956194,0.002105864,0.0006739427,0.000365362,0.000887475,0.0003480478],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001711571,0.00194712,0.5457487,0.001971736,0.0002978688,0.001563019,0.01444388,0.002994801,0.01941299,0.001069366,0.01892011,0.3899189],"study_design_scores_gemma":[0.00006776518,0.001218407,0.9183998,0.0002558919,0.0001428313,0.001133986,0.006758329,0.05012674,0.008747486,0.001104229,0.01191913,0.0001254236],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9655786,0.0001997821,0.01819668,0.0001934179,0.00003909226,0.001346351,0.009713269,0.001890514,0.00284216],"genre_scores_gemma":[0.9459925,0.0001735293,0.04143453,0.00009045214,0.00004200799,0.001661974,0.008154302,0.0000834848,0.002367185],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002897354,"threshold_uncertainty_score":0.0072577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05001256040139479,"score_gpt":0.4472985097235205,"score_spread":0.3972859493221257,"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."}}