{"id":"W4292852492","doi":"10.1016/j.ienj.2022.101199","title":"Assessment and care of individuals at risk of suicide in Emergency Department: The SecUrgence protocol","year":2022,"lang":"en","type":"article","venue":"International Emergency Nursing","topic":"Delphi Technique in Research","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Rimouski; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Quebec Network for Research on Aging; Hôpital Maisonneuve-Rosemont; Institut universitaire en santé mentale de Montréal; Université de Montréal; Institut Universitaire en Santé Mentale de Québec; Hôpital Charles-Le Moyne; Université du Québec à Montréal; Université de Sherbrooke","funders":"Réseau de recherche portant sur les interventions en sciences infirmières du Québec","keywords":"Delphi method; Emergency department; Protocol (science); Medicine; Medical emergency; Delphi; Suicide prevention; Poison control; Family medicine; Psychology; Nursing; Alternative medicine; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.03723498,0.001472892,0.001943648,0.003784181,0.005891409,0.002853106,0.002767704,0.00443378,0.01785174],"category_scores_gemma":[0.05475309,0.001685146,0.002808485,0.001852582,0.001867513,0.002705254,0.005131231,0.005910301,0.005033696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00733224,"about_ca_system_score_gemma":0.05303245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004157734,"about_ca_topic_score_gemma":0.007960217,"domain_scores_codex":[0.975726,0.01335885,0.006612801,0.0006481107,0.001790807,0.001863469],"domain_scores_gemma":[0.9723372,0.007280857,0.002961521,0.002292591,0.01162848,0.003499305],"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":[0.02795082,0.02816616,0.08556339,0.03397482,0.0008415807,0.007189334,0.06094065,0.008488938,0.009342918,0.044421,0.1852074,0.5079129],"study_design_scores_gemma":[0.03327401,0.03307958,0.2706489,0.04871647,0.001335736,0.003200873,0.06100817,0.01545555,0.01126837,0.0201201,0.500587,0.001305204],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"empirical","genre_scores_codex":[0.01639126,0.0001754157,0.003690098,0.002181031,0.0002303114,0.9690425,0.001059056,0.00003432919,0.007195946],"genre_scores_gemma":[0.01326907,0.0003550694,0.01080982,0.0008799053,0.0001071838,0.9725637,0.0006233584,0.000006962263,0.001384985],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03723498,"threshold_uncertainty_score":0.1969197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0752063514512897,"score_gpt":0.4936209608025435,"score_spread":0.4184146093512537,"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."}}