{"id":"W3015664888","doi":"10.24095/hpcdp.40.4.04f","title":"Aperçu - Blessures et intoxications associées à la consommation de méthamphétamine : surveillance sentinelle à l’aide de la plateforme électronique du Système canadien hospitalier d’information et de recherche en prévention des traumatismes (eSCHIRPT), 2011 à 2019","year":2020,"lang":"fr","type":"article","venue":"Promotion de la santé et prévention des maladies chroniques au Canada","topic":"Poisoning and overdose treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada","funders":"","keywords":"Gynecology; Humanities; Medicine; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0009362894,0.0002533193,0.0002131402,0.001481559,0.0005440427,0.0005525189,0.0003434856,0.0003115634,0.001482967],"category_scores_gemma":[0.002144824,0.0002401171,0.0002625152,0.001032431,0.0002781683,0.00030398,0.0004828267,0.000242775,0.0002829989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001322681,"about_ca_system_score_gemma":0.002087993,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2761143,"about_ca_topic_score_gemma":0.374777,"domain_scores_codex":[0.9993937,0.00009218687,0.00006592774,0.00007960333,0.000231768,0.000136855],"domain_scores_gemma":[0.9984745,0.0001709291,0.0003669408,0.00005820446,0.0007696743,0.0001597119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001140076,0.0000210593,0.9855461,0.0001028588,0.00003272931,0.0005514892,0.0008518764,0.00006467388,0.002973233,0.0000427392,0.0009538229,0.008745288],"study_design_scores_gemma":[0.000009190482,0.0001313381,0.9905562,0.0001278756,0.0000422273,0.001162881,0.00209216,0.0005408771,0.001692659,0.00002810684,0.003607443,0.000009068297],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917669,0.001562209,0.0008779999,0.0002469495,0.00002298268,0.0001087465,0.002712389,0.00004667952,0.002655284],"genre_scores_gemma":[0.9915773,0.002030056,0.001510037,0.0002179894,0.00002156832,0.00006466632,0.002148852,0.000006559936,0.002422999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7238857,"threshold_uncertainty_score":0.5490143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02755488172249005,"score_gpt":0.3279320864275096,"score_spread":0.3003772047050196,"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."}}