{"id":"W3157943908","doi":"10.2196/27018","title":"User Engagement and Usability of Suicide Prevention Apps: Systematic Search in App Stores and Content Analysis","year":2021,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Suicide and Self-Harm Studies","field":"Psychology","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Usability; Suicidal ideation; Mobile apps; Psychological intervention; App store; mHealth; Suicide prevention; Poison control; Psychology; Internet privacy; World Wide Web; Computer science; Medicine; Medical emergency; Psychiatry; Human–computer interaction","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":[0.005510912,0.0001223489,0.0005804589,0.0005677813,0.0001529883,0.00004383347,0.0001201372,0.00007031216,0.0002164981],"category_scores_gemma":[0.0002983365,0.00009766593,0.00009369412,0.001145139,0.0002932519,0.0001716746,0.0003363564,0.0003941852,0.00001679783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001056548,"about_ca_system_score_gemma":0.00004996173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006073643,"about_ca_topic_score_gemma":0.0008004815,"domain_scores_codex":[0.9950179,0.003078696,0.000585111,0.0003262323,0.0005981719,0.0003938345],"domain_scores_gemma":[0.99761,0.001392721,0.00008983356,0.0003522128,0.0004771726,0.00007806257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002680779,0.0009810182,0.8563316,0.01023808,0.002486965,0.00003445854,0.1229362,0.00001062435,0.0007903366,0.004211039,0.0002716104,0.001439953],"study_design_scores_gemma":[0.0008223534,0.0002377711,0.8560037,0.0002493019,0.00008539217,0.000003387309,0.1413251,0.0002017641,0.0006926226,0.0002702472,0.00001443195,0.00009385876],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940761,0.003128949,0.0002056452,0.0001767555,0.0000277361,0.001074114,0.00001481736,0.00001097659,0.001284931],"genre_scores_gemma":[0.9984746,0.0002185405,0.00005822929,0.00001129684,0.000009441485,0.0004736554,0.00001189929,0.00000711421,0.0007352125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0183889,"threshold_uncertainty_score":0.3982701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2234811276106359,"score_gpt":0.4732110430569014,"score_spread":0.2497299154462655,"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."}}