{"id":"W2121833483","doi":"10.2196/mhealth.3660","title":"Qualitative Feedback From a Text Messaging Intervention for Depression: Benefits, Drawbacks, and Cultural Differences","year":2014,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Minority Health and Health Disparities; National Institute of Mental Health","keywords":"Psychological intervention; Mood; Psychology; Intervention (counseling); Feeling; Clinical psychology; mHealth; Qualitative research; Applied psychology; Psychotherapist; Social psychology; Psychiatry","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":[0.0006949998,0.0002432462,0.0004168446,0.0001037248,0.0004299539,0.0001032521,0.0001313324,0.0001391156,0.0001071586],"category_scores_gemma":[0.00006045743,0.0002023172,0.00009276672,0.0001116823,0.0001487893,0.0002701177,0.00007575695,0.000227606,0.0000367299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007433919,"about_ca_system_score_gemma":0.00003127206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001424786,"about_ca_topic_score_gemma":0.0004581471,"domain_scores_codex":[0.9974625,0.0004436301,0.0007139759,0.0006158099,0.0001637131,0.0006003573],"domain_scores_gemma":[0.9982251,0.000571027,0.0003849309,0.0002273802,0.00006226124,0.0005293019],"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":[0.001077156,0.0009150516,0.02575758,0.003282642,0.00008068627,0.000001137223,0.03960912,2.658579e-7,0.000004173617,0.1176988,0.006857946,0.8047155],"study_design_scores_gemma":[0.006092528,0.002643537,0.9171621,0.001448265,0.0001019817,0.00002288339,0.02641416,0.0002828549,0.00002249337,0.03824988,0.007051692,0.0005076739],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9844195,0.00605734,0.0007986142,0.004198454,0.0008415838,0.0009060246,0.0003417344,0.00009022951,0.002346551],"genre_scores_gemma":[0.996471,0.0000795037,0.0008148728,0.000873089,0.0001999495,0.000467549,0.0001610313,0.00002670259,0.0009062698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8914044,"threshold_uncertainty_score":0.8250256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09159800737442624,"score_gpt":0.4846359341029299,"score_spread":0.3930379267285037,"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."}}