{"id":"W4409167094","doi":"10.2196/58597","title":"Artificial Intelligence–Based Mobile Phone Apps for Child Mental Health: Comprehensive Review and Content Analysis","year":2025,"lang":"en","type":"review","venue":"JMIR mhealth and uhealth","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preprint; Mobile phone; Mental health; mHealth; Computer science; Psychology; Phone; Multimedia; Data science; World Wide Web; Telecommunications; Psychiatry; Psychological intervention","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":[0.003422198,0.0007124617,0.001923893,0.01133057,0.0004532479,0.001531625,0.001311997,0.0008736744,0.002131234],"category_scores_gemma":[0.0117745,0.0005156172,0.001908651,0.007174542,0.0006839604,0.001971384,0.0013199,0.0009200879,0.0003664035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001272537,"about_ca_system_score_gemma":0.0054232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003310485,"about_ca_topic_score_gemma":0.007932187,"domain_scores_codex":[0.9981845,0.0004264559,0.0006108501,0.0001521794,0.0005555438,0.0000703146],"domain_scores_gemma":[0.983534,0.01234476,0.001986161,0.0001754292,0.001817858,0.0001416606],"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":[0.00009934988,0.00007219109,0.001488858,0.4231862,0.0008793778,0.0002020884,0.0007808257,0.0002053334,0.0008405735,0.0009286636,0.006636978,0.5646795],"study_design_scores_gemma":[0.00007894269,0.0004305595,0.01840501,0.681614,0.01146236,0.001850443,0.001208812,0.0006011219,0.001127605,0.001358905,0.2817633,0.00009890637],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001220095,0.9972154,0.0003235266,0.000332491,0.00006790015,0.0001602581,0.0001603705,0.00001467143,0.0005052797],"genre_scores_gemma":[0.005484009,0.9924423,0.001245719,0.0002694127,0.00006558978,0.000201012,0.0001660037,0.000006185732,0.0001199218],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01133057,"threshold_uncertainty_score":0.01809853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2643201117351333,"score_gpt":0.5272842557843502,"score_spread":0.2629641440492169,"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."}}