{"id":"W6964242166","doi":"10.25384/sage.c.5631889.v1","title":"Suicide reduction in Canada during the COVID-19 pandemic: lessons informing national prevention strategies for suicide reduction","year":2021,"lang":"en","type":"other","venue":"Sage Journals Data","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Public health; Population; Suicide prevention; Poison control; Occupational safety and health; Government (linguistics); Suicide rates","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001506696,0.0002316426,0.0002847709,0.0003266023,0.0003095066,0.0002656116,0.000644402,0.0001483374,0.006073161],"category_scores_gemma":[0.0006614981,0.0001872514,0.00005891161,0.0003264297,0.000056615,0.0006018482,0.00006599742,0.0004380432,0.000005118899],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003023438,"about_ca_system_score_gemma":0.006909246,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8150422,"about_ca_topic_score_gemma":0.991877,"domain_scores_codex":[0.9978023,0.0002529664,0.0005196407,0.0004102123,0.0006260882,0.0003888442],"domain_scores_gemma":[0.9984436,0.0003234156,0.000575395,0.0004696926,0.00005115626,0.0001367325],"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":[0.0009917157,0.0001054702,0.3036041,0.002720661,0.001063467,0.0003407115,0.001188108,0.07099251,0.002813598,0.00005157131,0.229914,0.3862141],"study_design_scores_gemma":[0.003138078,0.000107414,0.4912762,0.01141294,0.0003124038,0.00843068,0.02601837,0.003235784,0.0001498072,0.003800912,0.4501177,0.001999739],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.3672569,0.4105685,0.005883672,0.02227524,0.01520074,0.008621396,0.1008145,0.000787534,0.06859151],"genre_scores_gemma":[0.6343036,0.1334329,0.004821429,0.0007160379,0.007605713,0.00008848491,0.03811853,0.0004176126,0.1804957],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3842143,"threshold_uncertainty_score":0.9987206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1508501669971107,"score_gpt":0.3691627732967615,"score_spread":0.2183126062996508,"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."}}