{"id":"W3091416888","doi":"10.2196/17065","title":"Artificial Intelligence Chatbot for Depression: Descriptive Study of Usage","year":2020,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":113,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chatbot; Computer science; Depression (economics); Descriptive statistics; Human–computer interaction; Psychological intervention; World Wide Web; Psychology; Statistics; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008726066,0.0001161303,0.0002293369,0.0001896764,0.0002076512,0.00004088178,0.0004172707,0.00006478973,0.0004347419],"category_scores_gemma":[0.0001652746,0.0001021244,0.00009490392,0.000625865,0.0001508696,0.0003301102,0.00025199,0.0003728227,0.0005441491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009810176,"about_ca_system_score_gemma":0.00004389472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007171774,"about_ca_topic_score_gemma":0.00003268945,"domain_scores_codex":[0.9976453,0.0004022904,0.0006398936,0.0003038773,0.0005125023,0.0004961157],"domain_scores_gemma":[0.9986044,0.0004447975,0.0001375601,0.0002496423,0.0003471849,0.0002164147],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.003776735,0.01188792,0.001348517,0.0006097825,0.0002329048,0.00002422932,0.408737,0.00000716266,0.000417515,0.05774983,0.01174204,0.5034664],"study_design_scores_gemma":[0.002328422,0.07636835,0.0350962,0.000665762,0.00003448539,0.00001512397,0.7745501,0.003474448,0.0478125,0.05289292,0.00601367,0.0007480627],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9677848,0.00009801143,0.0109298,0.001142751,0.0005401977,0.004215188,0.0001634183,0.00005385776,0.015072],"genre_scores_gemma":[0.9978951,6.406986e-7,0.0001063914,0.00004870658,0.00008534634,0.001613386,0.000009117273,0.00001840893,0.000222905],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5027183,"threshold_uncertainty_score":0.6994117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4044780646809426,"score_gpt":0.5605480303058968,"score_spread":0.1560699656249542,"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."}}