{"id":"W4296798714","doi":"10.2196/39813","title":"Comparing Professional and Consumer Ratings of Mental Health Apps: Mixed Methods Study","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"NIHR Maudsley Biomedical Research Centre; King's College London; One Mind; National Institute for Health and Care Research; NIHR Biomedical Research Centre, Royal Marsden NHS Foundation Trust/Institute of Cancer Research","keywords":"Mental health; Psychology; Download; Rating scale; Mobile apps; Scale (ratio); App store; Applied psychology; Clinical psychology; Medical education; Medicine; Psychiatry; World Wide Web; Computer science","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":[0.08381577,0.000673624,0.002114245,0.003705432,0.001532204,0.003183642,0.001448344,0.001453322,0.003022566],"category_scores_gemma":[0.1113218,0.001050889,0.002736394,0.004237903,0.001516658,0.002779348,0.00220199,0.001036813,0.0005072312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002485532,"about_ca_system_score_gemma":0.002260313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002168077,"about_ca_topic_score_gemma":0.003999636,"domain_scores_codex":[0.8755679,0.08136567,0.01630943,0.006128511,0.01888246,0.001746009],"domain_scores_gemma":[0.847918,0.1064547,0.02397315,0.005343956,0.01503049,0.001279748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.006791543,0.006076728,0.7272754,0.0188231,0.006752172,0.000713653,0.09727722,0.0003771851,0.002068094,0.001817313,0.003516137,0.1285115],"study_design_scores_gemma":[0.002015674,0.02159525,0.8249223,0.008244838,0.004219461,0.001439345,0.108956,0.005331871,0.003016757,0.002388343,0.01745487,0.0004152436],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.967472,0.003796443,0.008857056,0.0005185402,0.0001239033,0.01449569,0.00150601,0.00004539174,0.003185074],"genre_scores_gemma":[0.9406255,0.001679659,0.01964019,0.001242562,0.0001661989,0.03482442,0.0008314914,0.00003921035,0.0009508146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08381577,"threshold_uncertainty_score":0.4432654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2274678048398236,"score_gpt":0.6230308341414693,"score_spread":0.3955630293016457,"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."}}