{"id":"W3200859756","doi":"10.1177/01410768211043186","title":"Suicide reduction in Canada during the COVID-19 pandemic: lessons informing national prevention strategies for suicide reduction","year":2021,"lang":"en","type":"article","venue":"Journal of the Royal Society of Medicine","topic":"Suicide and Self-Harm Studies","field":"Psychology","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Unemployment; Population; Public health; Medicine; Suicide prevention; Poison control; Demography; Injury prevention; Occupational safety and health; Pandemic; Environmental health; Coronavirus disease 2019 (COVID-19); Economic growth; Economics; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002449418,0.0006595398,0.000691699,0.00192209,0.004778709,0.002152158,0.002061073,0.001150964,0.00312361],"category_scores_gemma":[0.007678138,0.0002721881,0.0008417552,0.001852398,0.001607272,0.0009254162,0.001790831,0.002025973,0.0002740381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06111085,"about_ca_system_score_gemma":0.2479344,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9861327,"about_ca_topic_score_gemma":0.993828,"domain_scores_codex":[0.998431,0.0003230298,0.00005435119,0.00008415644,0.00040194,0.0007054536],"domain_scores_gemma":[0.9945803,0.0004182212,0.000378472,0.00008216064,0.002679765,0.001861097],"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":[0.000555235,0.0009521907,0.4056487,0.003878781,0.0004486394,0.0008176345,0.008454639,0.002799953,0.001057605,0.005160805,0.1214307,0.4487951],"study_design_scores_gemma":[0.0002332811,0.0005578719,0.8876014,0.007236502,0.000529332,0.0002723714,0.03428665,0.003617921,0.0009175067,0.003194296,0.06138024,0.0001725465],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4419427,0.1319258,0.003687865,0.3580683,0.001911628,0.001193721,0.008537762,0.0005221576,0.05220998],"genre_scores_gemma":[0.9132947,0.05781441,0.008831295,0.01382298,0.0003397403,0.0003847997,0.002234228,0.00004592188,0.003231955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06111085,"threshold_uncertainty_score":0.4433923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08718442480945202,"score_gpt":0.3799760851503071,"score_spread":0.2927916603408551,"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."}}