{"id":"W3121995297","doi":"10.4187/respcare.08763","title":"CRNAs Stepping Over from the Operating Room: Working Together to Battle the Pandemic","year":2021,"lang":"en","type":"letter","venue":"Respiratory Care","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Pandemic; Battle; Coronavirus disease 2019 (COVID-19); Quarter (Canadian coin); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Health care; Medical emergency; Virology; Economic growth; Internal medicine; Outbreak; Infectious disease (medical specialty); Disease","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0004855369,0.0004553578,0.0006485733,0.00009453863,0.000529482,0.000245533,0.0004709517,0.0007878789,0.0007659158],"category_scores_gemma":[0.001198043,0.0002681867,0.0002949577,0.0003644327,0.00005531376,0.00005194326,0.0002885352,0.003382908,0.0001165372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008913122,"about_ca_system_score_gemma":0.00180318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001253869,"about_ca_topic_score_gemma":0.00123018,"domain_scores_codex":[0.9966615,0.0005458907,0.0005244583,0.0007186952,0.0008515397,0.0006979571],"domain_scores_gemma":[0.9959769,0.00189023,0.0001833011,0.001463613,0.0002912424,0.0001947098],"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":[0.00002771378,0.000006463372,0.04668852,0.000416162,0.0001720514,0.0008210923,0.007152459,0.00003142404,0.001936794,0.000002301076,0.9216446,0.02110038],"study_design_scores_gemma":[0.0004528442,0.00008918874,0.01430675,0.002776083,0.0001684812,0.00001303049,0.002380695,0.000002813499,0.0002075295,0.000003457709,0.979285,0.0003141314],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.1161745,0.04326581,0.0001023928,0.831524,0.003240966,0.002136654,0.0001925611,0.0002503738,0.003112754],"genre_scores_gemma":[0.04286389,0.00006005104,0.0000487571,0.9387656,0.01705046,0.00008194313,0.0001350261,0.0001449787,0.0008492792],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1072417,"threshold_uncertainty_score":0.9999771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1321962607437108,"score_gpt":0.3796572509383793,"score_spread":0.2474609901946685,"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."}}