{"id":"W3032965259","doi":"10.2196/15741","title":"A Digital Companion, the Emma App, for Ecological Momentary Assessment and Prevention of Suicide: Quantitative Case Series Study","year":2020,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Suicide and Self-Harm Studies","field":"Psychology","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Risk assessment; Suicide prevention; Poison control; Psychology; Mental health; Medicine; Psychiatry; Medical emergency; 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":[0.003670182,0.000675183,0.0005562015,0.002812819,0.002016133,0.0009598095,0.00128077,0.001565556,0.003994091],"category_scores_gemma":[0.0133549,0.0004502422,0.0006483461,0.001357771,0.001160071,0.001191169,0.002296302,0.001193652,0.0008453377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001202129,"about_ca_system_score_gemma":0.001382698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001823386,"about_ca_topic_score_gemma":0.003850647,"domain_scores_codex":[0.9978203,0.001255607,0.0001965747,0.0002098699,0.0003477388,0.0001699105],"domain_scores_gemma":[0.9939203,0.003000782,0.0009752226,0.0006191871,0.000756515,0.0007279783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007465316,0.01178079,0.3274044,0.00249871,0.000198287,0.266987,0.1508721,0.0008444191,0.003397431,0.003343466,0.02445986,0.2074671],"study_design_scores_gemma":[0.0003626652,0.006778961,0.2306658,0.002456636,0.0003400789,0.4888749,0.1858094,0.006288211,0.0042193,0.003651572,0.07014482,0.0004077896],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9862497,0.001462693,0.005360703,0.0009738483,0.00008323941,0.002070025,0.0005478864,0.0000693031,0.003182669],"genre_scores_gemma":[0.9798198,0.002425947,0.01108443,0.0005930213,0.000120705,0.002342065,0.0004701349,0.00006692216,0.00307698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003994091,"threshold_uncertainty_score":0.01941001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1800432518810472,"score_gpt":0.4753683633471902,"score_spread":0.295325111466143,"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."}}