{"id":"W4388282096","doi":"10.2196/preprints.54175","title":"Characteristics of Suicide Prevention Apps: A Content Analysis of Apps Available in Canada and the United Kingdom (Preprint)","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Suicide and Self-Harm Studies","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Upload; Internet privacy; Mobile apps; Personalization; World Wide Web; Descriptive statistics; App store; Content analysis; Medicine; Computer science; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.006065882,0.0003548238,0.001155316,0.01185179,0.001932581,0.003326922,0.001096227,0.0006763419,0.002400667],"category_scores_gemma":[0.05478091,0.0004387882,0.001495224,0.01941064,0.001205117,0.001762196,0.002379238,0.0006761391,0.0002587381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0237514,"about_ca_system_score_gemma":0.05860514,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7712813,"about_ca_topic_score_gemma":0.8423827,"domain_scores_codex":[0.9931463,0.0009947134,0.002363061,0.0006115437,0.002291268,0.0005930858],"domain_scores_gemma":[0.9418437,0.02382535,0.009667198,0.0006835675,0.02232656,0.001653611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001475787,0.000101213,0.4350369,0.10457,0.001244592,0.001828475,0.1684026,0.0003699594,0.001671363,0.001776775,0.03074902,0.2527733],"study_design_scores_gemma":[0.00009115998,0.0001517684,0.7787199,0.05602258,0.001167353,0.00085629,0.08997408,0.0003023836,0.0004687077,0.0001512624,0.07194975,0.0001447859],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.796503,0.1183277,0.001068434,0.004260952,0.0002606437,0.003557506,0.06334207,0.0001033807,0.01257628],"genre_scores_gemma":[0.9008034,0.07429509,0.003511037,0.001897418,0.00006922115,0.003450145,0.01274892,0.0000828411,0.003141782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2287187,"threshold_uncertainty_score":0.4601313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1366913117308456,"score_gpt":0.3297502999608306,"score_spread":0.193058988229985,"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."}}