{"id":"W2943408440","doi":"","title":"Aperçu - Que peuvent nous révéler les données des ambulanciers paramédicaux sur la crise des opioïdes au Canada? At-a-glance - What can paramedic data tell us about the opioid crisis in Canada?","year":2018,"lang":"fr","type":"article","venue":"","topic":"Opioid Use Disorder Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Opioid epidemic; (+)-Naloxone; Humanities; Medicine; Political science; Medical emergency; Opioid","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01595279,0.0006772213,0.001066739,0.004047466,0.0033801,0.00607794,0.002084049,0.001797486,0.006002418],"category_scores_gemma":[0.09401583,0.0004537556,0.001058013,0.006787653,0.002657407,0.002864052,0.001373273,0.002789632,0.001215342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01711429,"about_ca_system_score_gemma":0.04553467,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8588294,"about_ca_topic_score_gemma":0.92567,"domain_scores_codex":[0.9867792,0.002946117,0.001783609,0.001166451,0.006194918,0.001129796],"domain_scores_gemma":[0.9260479,0.02898025,0.008523344,0.002286852,0.03203166,0.002130036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001066043,0.0002102967,0.5158597,0.01302379,0.001267423,0.007035221,0.05053391,0.001512893,0.003798294,0.006843812,0.1592844,0.2395642],"study_design_scores_gemma":[0.00008795435,0.0002167943,0.3845611,0.01382913,0.0007125258,0.005137728,0.07992279,0.002161874,0.00358311,0.003246525,0.5061079,0.0004326103],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4308527,0.1432205,0.01241623,0.3065497,0.003705751,0.0009009046,0.06068669,0.0006180488,0.04104943],"genre_scores_gemma":[0.8296117,0.06652807,0.02789305,0.04724858,0.001463863,0.0004820719,0.01479158,0.0004295564,0.01155147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1411706,"threshold_uncertainty_score":0.284004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03557808828661414,"score_gpt":0.2709395836107227,"score_spread":0.2353614953241086,"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."}}