{"id":"W4408506789","doi":"10.1177/20552076251325951","title":"Recommendations for mobile apps for mental health treatment: Qualitative interviews with psychiatrists","year":2025,"lang":"en","type":"article","venue":"Digital Health","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Children's Hospital; B.C. Women's Hospital & Health Centre; University of British Columbia","funders":"","keywords":"Mental health; Feeling; Mobile apps; Perception; mHealth; Psychology; Qualitative research; Economic shortage; Medical education; Medicine; Applied psychology; Psychological intervention; Psychiatry; Computer science; World Wide Web; Social psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01758935,0.0007363384,0.0005739376,0.001442736,0.007070043,0.003597831,0.001313778,0.001699856,0.003012012],"category_scores_gemma":[0.02142789,0.000915869,0.0004640929,0.001168097,0.00597393,0.002921902,0.005727162,0.00345105,0.0006098229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00581727,"about_ca_system_score_gemma":0.007411852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007040962,"about_ca_topic_score_gemma":0.01285862,"domain_scores_codex":[0.9878312,0.009346363,0.0003887066,0.0004887733,0.0006465926,0.001298303],"domain_scores_gemma":[0.976597,0.01830408,0.00145943,0.0003686014,0.00173458,0.001536368],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004366304,0.00005727325,0.001789703,0.0003028874,0.000003831742,0.0005357266,0.9898472,0.0000455082,0.000858494,0.0005967999,0.001075727,0.004843094],"study_design_scores_gemma":[0.00001328258,0.00003807598,0.00100343,0.0003512938,0.000004726836,0.0001775616,0.9885876,0.00009519654,0.000322784,0.0002872974,0.00910604,0.00001264983],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.959249,0.001983842,0.01219053,0.009534386,0.0003206269,0.003894233,0.0008967039,0.00006596802,0.01186473],"genre_scores_gemma":[0.9721657,0.002917339,0.009093338,0.004435288,0.00008049227,0.004795201,0.0002402867,0.00005539802,0.006216919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01758935,"threshold_uncertainty_score":0.09302247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09709461360240178,"score_gpt":0.5212488089577075,"score_spread":0.4241541953553057,"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."}}