{"id":"W2051644535","doi":"10.1016/j.psychres.2014.07.033","title":"Spatial analysis of suicide mortality in Québec: Spatial clustering and area factor correlates","year":2014,"lang":"en","type":"review","venue":"Psychiatry Research","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":52,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke; Institut National de la Recherche Scientifique; Hôpital Charles-Le Moyne; Quebec Rehabilitation Research Network","funders":"","keywords":"Geography; Poison control; Suicide prevention; Cluster analysis; Injury prevention; Demography; Rural area; Human factors and ergonomics; Occupational safety and health; Spatial analysis; Suicide methods; Environmental health; Suicide rates; Cartography; Medicine; Statistics; Sociology; Remote sensing","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001710797,0.0004202307,0.003413217,0.001801271,0.00007139944,0.00004142635,0.0004154606,0.0003574536,0.0005881123],"category_scores_gemma":[0.0008123777,0.0003473614,0.0006539717,0.001808849,0.000326848,0.00005564321,0.0004006326,0.001210821,0.00003849631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002297894,"about_ca_system_score_gemma":0.001620277,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06871249,"about_ca_topic_score_gemma":0.3401008,"domain_scores_codex":[0.9952364,0.0009026217,0.001246962,0.0008899224,0.001094487,0.0006295869],"domain_scores_gemma":[0.996981,0.0007370113,0.0003831071,0.001297216,0.0002350414,0.0003665731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009880844,0.0001810085,0.7384723,0.01688778,0.001880106,0.00001946766,0.00003827522,0.000004002856,5.676993e-7,0.000005210258,0.0002191808,0.2421933],"study_design_scores_gemma":[0.001085468,0.0003088674,0.8826013,0.01311335,0.005354496,0.00001574018,0.00004009038,0.005172255,1.928265e-7,0.00002406881,0.09172758,0.000556589],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.02619382,0.9701453,0.0002585073,0.00009934125,0.0003394471,0.001271194,0.001158185,0.00004099294,0.0004931645],"genre_scores_gemma":[0.0654301,0.9326308,0.00009368942,0.00001735951,0.0002930173,0.00009695503,0.001236424,0.00007249893,0.0001290831],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.2713883,"threshold_uncertainty_score":0.9998978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1330845780379926,"score_gpt":0.4540750875154672,"score_spread":0.3209905094774746,"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."}}