{"id":"W3013691323","doi":"10.1017/cem.2020.5","title":"The other pipeline: Securing the future of emergency medicine in Canada","year":2020,"lang":"en","type":"letter","venue":"Canadian Journal of Emergency Medicine","topic":"Trauma and Emergency Care Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Pipeline (software); Content (measure theory); Action (physics); Medical emergency; World Wide Web; Computer science; Operating system","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004863089,0.000511696,0.001053446,0.001746626,0.02039071,0.01112043,0.003112005,0.03381701,0.02350851],"category_scores_gemma":[0.02179809,0.0006947665,0.0009660463,0.002300092,0.00847326,0.005406664,0.004493891,0.03080988,0.002392801],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1072745,"about_ca_system_score_gemma":0.3733996,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9581152,"about_ca_topic_score_gemma":0.9838157,"domain_scores_codex":[0.9922032,0.0009448847,0.0003913231,0.0004094233,0.002562488,0.00348867],"domain_scores_gemma":[0.9496185,0.005477671,0.001634628,0.0004184955,0.01347267,0.02937802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006605964,0.00005542265,0.003263723,0.000146239,0.00002150432,0.001241373,0.0009617109,0.0001052483,0.0001329191,0.01117249,0.9706224,0.01221082],"study_design_scores_gemma":[0.0001474826,0.00005175235,0.01148988,0.001088553,0.00006108295,0.0008197436,0.009052762,0.0005987058,0.0001762757,0.01296247,0.9633924,0.0001588638],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0009842012,0.002062567,0.0000264599,0.9872198,0.004406696,0.000009786196,0.00006092085,0.000007824157,0.005221889],"genre_scores_gemma":[0.03783338,0.007946107,0.0003255307,0.9199564,0.01122462,0.0000451969,0.00008696591,0.00004387474,0.02253781],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.8927255,"threshold_uncertainty_score":0.778335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05205858526914097,"score_gpt":0.3011749018155777,"score_spread":0.2491163165464367,"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."}}