{"id":"W2890937702","doi":"10.24095/hpcdp.38.9.06","title":"At-a-glance - What can paramedic data tell us about the opioid crisis in Canada?","year":2018,"lang":"en","type":"article","venue":"Health Promotion and Chronic Disease Prevention in Canada","topic":"Historical and modern epidemiology studies","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Toronto; Ottawa Public Health; Carleton University; Public Health Ontario; Public Health Agency of Canada","funders":"","keywords":"(+)-Naloxone; Opioid overdose; Opioid epidemic; Medical emergency; Medicine; Harm reduction; Harm; Public health; Emergency medicine; Opioid; Psychology; Nursing","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009341789,0.0000975322,0.0001977271,0.00002542651,0.0006781799,0.00001477818,0.0002525987,0.00002983568,0.0001852788],"category_scores_gemma":[0.0001651027,0.00007997792,0.00001394346,0.0001733331,0.000188042,0.0001448175,0.0001062794,0.0001470305,0.000001838297],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.00987332,"about_ca_system_score_gemma":0.03084055,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.999629,"about_ca_topic_score_gemma":0.9999986,"domain_scores_codex":[0.997847,0.0006327863,0.000364778,0.0003528741,0.0003175919,0.0004849849],"domain_scores_gemma":[0.9990872,0.00009887932,0.0001496355,0.0002814012,0.00003575506,0.0003471246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006224794,0.0001890111,0.5245299,0.0005765078,0.00003879686,0.00003673153,0.006399026,0.0000538459,3.273995e-7,0.001460536,0.3400265,0.1266266],"study_design_scores_gemma":[0.0004809624,0.0000522104,0.4720614,0.0003130646,0.00001223521,6.784809e-7,0.003104711,0.001211541,3.082025e-7,0.00101796,0.5215804,0.0001645539],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7914448,0.04585215,0.0001142978,0.1571777,0.00303956,0.001482102,0.0002157518,0.00002595148,0.0006476844],"genre_scores_gemma":[0.9822087,0.01326578,0.000007820951,0.003659092,0.0002017285,0.00007023978,0.0000550089,0.000005128392,0.0005265124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1907639,"threshold_uncertainty_score":0.9939276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08148493425638036,"score_gpt":0.37650625812359,"score_spread":0.2950213238672096,"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."}}