{"id":"W4387191968","doi":"10.2196/51712","title":"The Potential of Chatbots for Emotional Support and Promoting Mental Well-Being in Different Cultures: Mixed Methods Study","year":2023,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","topic":"Mental Health via Writing","field":"Psychology","cited_by":139,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute for Basic Science; National Research Foundation of Korea; National Research Foundation","keywords":"Chatbot; Sadness; Popularity; Conversation; Social media; Psychology; World Wide Web; Computer science; Social psychology; Anger; Communication","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02855893,0.0001107796,0.0003433651,0.0003493254,0.000145966,0.00005052177,0.0005785308,0.0001354247,0.0005199437],"category_scores_gemma":[0.001695185,0.00006585355,0.0000962143,0.0002672769,0.0002285502,0.00005706765,0.000419298,0.001166165,0.000008703115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001229674,"about_ca_system_score_gemma":0.0001086241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001039762,"about_ca_topic_score_gemma":0.0000897391,"domain_scores_codex":[0.9936787,0.002329135,0.001121291,0.0002258838,0.002052881,0.0005921143],"domain_scores_gemma":[0.996667,0.002428357,0.0002650339,0.0001263536,0.0002113499,0.0003019547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0040193,0.005465855,0.08934388,0.001282587,0.001179104,0.001853219,0.1232105,0.000002642788,0.007467052,0.008233757,0.07975877,0.6781833],"study_design_scores_gemma":[0.01872367,0.01494598,0.6115704,0.003408097,0.00007813743,0.001753826,0.3074349,0.01935928,0.005188928,0.008750407,0.00836686,0.0004194519],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912495,0.0001525359,0.0002872738,0.006074664,0.001115027,0.0006987882,0.000002442666,0.00000612927,0.0004136256],"genre_scores_gemma":[0.9982488,0.00009661169,0.0002372452,0.00004022044,0.0005027591,0.00004993418,0.000004248834,0.00001689546,0.000803273],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6777639,"threshold_uncertainty_score":0.9898013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1092124191007147,"score_gpt":0.563993706912816,"score_spread":0.4547812878121013,"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."}}