{"id":"W4322505451","doi":"10.1136/bmjopen-2022-066423","title":"A case–control study on predicting population risk of suicide using health administrative data: a research protocol","year":2023,"lang":"en","type":"article","venue":"BMJ Open","topic":"Suicide and Self-Harm Studies","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut universitaire en santé mentale de Montréal; Public Health Agency of Canada; Université Laval; Université de Montréal; Institut National de Santé Publique du Québec; Dalhousie University","funders":"Canada Research Chairs; Government of Canada","keywords":"Medicine; Population; Poison control; Suicide prevention; Population health; Health care; Risk assessment; Actuarial science; Environmental health; Computer security; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.08136528,0.002197136,0.003588595,0.005918959,0.005021407,0.002059279,0.00478041,0.004058578,0.01501737],"category_scores_gemma":[0.05338872,0.004101304,0.002870068,0.005107249,0.003068908,0.003542833,0.002927834,0.002050033,0.003472119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005837744,"about_ca_system_score_gemma":0.01933917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006899805,"about_ca_topic_score_gemma":0.006941855,"domain_scores_codex":[0.9413892,0.03792257,0.0103296,0.003377405,0.004907913,0.002073232],"domain_scores_gemma":[0.9681734,0.01258699,0.004586098,0.0046492,0.00838874,0.001615558],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.1043271,0.09434966,0.358181,0.06397466,0.003807834,0.01900898,0.05106313,0.01169701,0.009269753,0.03085661,0.03038919,0.2230751],"study_design_scores_gemma":[0.1373869,0.2534642,0.3664669,0.02590667,0.003039283,0.006093173,0.04420439,0.02342682,0.005964748,0.01261755,0.119927,0.001502394],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.02039637,0.0001806626,0.004856045,0.0001023454,0.00005794944,0.972805,0.0009377927,0.00001476051,0.0006491432],"genre_scores_gemma":[0.01447324,0.0002034932,0.005661765,0.0001193241,0.00002686378,0.9787701,0.0004719586,0.000002161337,0.000271066],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.08136528,"threshold_uncertainty_score":0.4303059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7206196362534334,"score_gpt":0.65023883543194,"score_spread":0.07038080082149334,"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."}}