{"id":"W3194340621","doi":"10.1016/j.jad.2021.08.033","title":"5-year incidence of suicide-risk in youth: A gradient tree boosting and SHAP study","year":2021,"lang":"en","type":"article","venue":"Journal of Affective Disorders","topic":"Suicide and Self-Harm Studies","field":"Psychology","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Joseph’s Healthcare Hamilton; McMaster University","funders":"Russian Academy of Sciences; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Instituto Nacional de Ciência e Tecnologia Translacional em Medicina; Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Socioeconomic status; Incidence (geometry); Suicide attempt; Suicide prevention; Poison control; Medicine; Cohort study; Mental health; Risk factor; Injury prevention; Cohort; Occupational safety and health; Demography; Psychology; Psychiatry; Environmental health; Population; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00158496,0.000289376,0.0004667873,0.0009663859,0.0007298837,0.000559513,0.0005751246,0.0004864721,0.001004573],"category_scores_gemma":[0.00395062,0.0002375972,0.0007311584,0.0007766785,0.0004059014,0.0006875448,0.0006659669,0.0007538577,0.0002273967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004791814,"about_ca_system_score_gemma":0.0003764401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01533583,"about_ca_topic_score_gemma":0.009976852,"domain_scores_codex":[0.9994245,0.0002943478,0.00003362838,0.0001031283,0.00006142758,0.0000830102],"domain_scores_gemma":[0.9980004,0.0005155796,0.0003852027,0.0003321592,0.0002462242,0.0005203225],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000900192,0.0004590022,0.9954873,0.000005725808,0.00009777606,0.00005241507,0.0002859765,0.0002072681,0.0001038708,0.0000663255,0.000112632,0.002221446],"study_design_scores_gemma":[0.00003909415,0.001045863,0.9937744,0.00000513339,0.0001261384,0.0002322196,0.0007732373,0.003627335,0.00008519516,0.0001343958,0.000143253,0.00001370159],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999826,0.00001443357,0.00005321061,0.000004104711,9.523559e-7,0.000002862196,0.00004802897,0.000001750103,0.00004873994],"genre_scores_gemma":[0.999671,0.00001892408,0.00007594955,0.00000362221,0.000001855213,0.000003101412,0.0001463646,0.000001663723,0.00007742706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01533583,"threshold_uncertainty_score":0.03049314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02507492431916756,"score_gpt":0.3159607871538969,"score_spread":0.2908858628347293,"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."}}