{"id":"W4206789363","doi":"10.2196/27654","title":"Thematic Analysis on User Reviews for Depression and Anxiety Chatbot Apps: Machine Learning Approach","year":2021,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Qatar National Research Fund; Fonds National de la Recherche Luxembourg","keywords":"Chatbot; Thematic analysis; Anxiety; Usability; World Wide Web; Computer science; Mood; Metadata; Sentiment analysis; Psychology; Applied psychology; Internet privacy; Artificial intelligence; Clinical psychology; Psychiatry; Human–computer interaction; Qualitative research","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":[0.002301823,0.0001536588,0.0004036035,0.0003907973,0.0003898641,0.0001007814,0.000181145,0.00009310384,0.0003717509],"category_scores_gemma":[0.0002225556,0.0001169806,0.0002471927,0.001123394,0.00009884262,0.0002543454,0.0001987662,0.0005710474,0.0002582296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001008928,"about_ca_system_score_gemma":0.00001957183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002040126,"about_ca_topic_score_gemma":0.00001657974,"domain_scores_codex":[0.997225,0.0009550807,0.0005033091,0.0004109721,0.0003886227,0.000516941],"domain_scores_gemma":[0.9986572,0.0004411087,0.0001474617,0.0004035874,0.0001829716,0.0001676801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008103178,0.006386714,0.01309448,0.005591913,0.001626548,0.00001296408,0.03113174,0.00005481083,0.000134386,0.04654931,0.02517398,0.8694329],"study_design_scores_gemma":[0.01328214,0.01044689,0.1153837,0.00686831,0.0008326028,0.0002733649,0.05189647,0.07563923,0.006150652,0.01650054,0.7002063,0.002519788],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6832721,0.02096738,0.03532728,0.002025248,0.0005598383,0.009192842,0.0004266435,0.0002198315,0.2480089],"genre_scores_gemma":[0.9847768,0.0002232975,0.000935827,0.00008620702,0.00003865169,0.002433664,0.0002581282,0.00002426583,0.01122316],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8669131,"threshold_uncertainty_score":0.4770331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1547992235192354,"score_gpt":0.5131630684285358,"score_spread":0.3583638449093003,"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."}}