{"id":"W3015271552","doi":"10.1017/cem.2020.367","title":"COVID-19: What paramedics need to know!","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Emergency Medicine","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Medicine; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Need to know; Medical emergency; Action (physics); Content (measure theory); World Wide Web; Internet privacy; Virology; Computer science; Computer security; Infectious disease (medical specialty); Outbreak","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.006893234,0.001228032,0.001436216,0.002439424,0.005355091,0.008858606,0.002084256,0.006884097,0.1024594],"category_scores_gemma":[0.04792598,0.0006275462,0.001258014,0.002019665,0.00254431,0.01443969,0.006443427,0.01148321,0.05584774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007166133,"about_ca_system_score_gemma":0.02933927,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09301763,"about_ca_topic_score_gemma":0.1519638,"domain_scores_codex":[0.9946069,0.001278579,0.0004198715,0.0003211769,0.002112019,0.001261474],"domain_scores_gemma":[0.9604024,0.005183712,0.001898536,0.001045335,0.01443483,0.01703511],"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":[0.00003802275,0.00004891814,0.002648566,0.0004326338,0.00001071806,0.0001586734,0.0004322203,0.00002211621,0.00006832943,0.001243561,0.9258005,0.06909583],"study_design_scores_gemma":[0.00004951083,0.00008107391,0.008374395,0.00661388,0.00003776721,0.0004825494,0.00585685,0.00005050723,0.0001682881,0.006517138,0.9716817,0.00008629516],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001650817,0.01506635,0.0007342415,0.9236637,0.0124448,0.00009931109,0.002982979,0.0005795436,0.04277835],"genre_scores_gemma":[0.05504519,0.1098655,0.01276683,0.7006739,0.02519121,0.0007576946,0.01108343,0.001042919,0.08357337],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9069824,"threshold_uncertainty_score":0.3427607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2371044598110822,"score_gpt":0.4499957282115575,"score_spread":0.2128912684004753,"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."}}