{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005718568,0.0002960375,0.0004903853,0.001888841,0.001216133,0.001286722,0.0005583208,0.0005707113,0.001807028],"category_scores_gemma":[0.02505167,0.0004418213,0.0004928753,0.001074308,0.0007269574,0.001479081,0.001361728,0.000971311,0.0005182914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001001595,"about_ca_system_score_gemma":0.0009979431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002212398,"about_ca_topic_score_gemma":0.003739635,"domain_scores_codex":[0.9969037,0.001542571,0.0004921708,0.0002575199,0.0005357173,0.0002682972],"domain_scores_gemma":[0.9799401,0.01325736,0.00316996,0.000698058,0.002032444,0.0009020646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006839229,0.002485763,0.7296919,0.00139485,0.0001340116,0.0008932022,0.1701807,0.0001935602,0.002910012,0.0005312011,0.002521595,0.08837929],"study_design_scores_gemma":[0.00006658636,0.003377435,0.8994825,0.0006530015,0.0001297314,0.001818276,0.08313645,0.001930656,0.001625914,0.0002668967,0.007421912,0.00009059459],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977634,0.0001654641,0.0004739398,0.00006215498,0.000004767253,0.0003211743,0.0002523413,0.00002071529,0.0009360514],"genre_scores_gemma":[0.9954045,0.0003714285,0.001591532,0.0001281471,0.00001102827,0.00119544,0.0003361977,0.0000222189,0.0009394457],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005718568,"threshold_uncertainty_score":0.0302431,"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."}}