{"id":"W7037809180","doi":"","title":"Evaluating the Safety and Efficacy of Mental Health Apps for Patients on Waiting Lists","year":2024,"lang":"en","type":"report","venue":"MacSphere (McMaster University)","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mental health; Psychological intervention; Suicide prevention; Point (geometry); Occupational safety and health; Human factors and ergonomics","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":[0.0564176,0.0004003135,0.0004972801,0.001095272,0.001961444,0.002949086,0.0009324414,0.0009042701,0.00514186],"category_scores_gemma":[0.2316641,0.0002776355,0.001213282,0.0009431411,0.001067739,0.002261028,0.001466171,0.001443995,0.0009188662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005875317,"about_ca_system_score_gemma":0.01936457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02548668,"about_ca_topic_score_gemma":0.04675193,"domain_scores_codex":[0.9566523,0.02714373,0.005067267,0.0007706209,0.008802989,0.001563057],"domain_scores_gemma":[0.750095,0.1709411,0.02273683,0.00728325,0.04374954,0.005194324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0167572,0.01043198,0.1867379,0.004911718,0.0007338197,0.0002321076,0.01384346,0.0007115857,0.0008835341,0.003198633,0.03997339,0.7215847],"study_design_scores_gemma":[0.01169431,0.1708944,0.5788848,0.01783089,0.004984985,0.0006304837,0.05608638,0.006992225,0.01871737,0.0036057,0.1290493,0.0006291937],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8551922,0.005439162,0.002993323,0.01961171,0.0009028469,0.03093804,0.007088538,0.0003712692,0.07746287],"genre_scores_gemma":[0.9567826,0.003951172,0.01288768,0.002972302,0.0002734245,0.01450451,0.002506773,0.00006431275,0.006057212],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0564176,"threshold_uncertainty_score":0.2983683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.120346186956028,"score_gpt":0.3717085040554532,"score_spread":0.2513623170994252,"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."}}