{"id":"W3031596167","doi":"10.1007/s10554-020-01861-1","title":"Statement from the North American Society for Cardiovascular Imaging on imaging strategies to reduce the scarcity of healthcare resources during the COVID-19 outbreak","year":2020,"lang":"en","type":"editorial","venue":"International journal of cardiac imaging","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"","keywords":"Pandemic; Personal protective equipment; Health care; Coronavirus disease 2019 (COVID-19); Outbreak; Medicine; Diagnostic test; Economic shortage; Medical imaging; Disease; Scarcity; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Intensive care medicine; Medical emergency; Pathology; Emergency medicine; Government (linguistics); Radiology; Infectious disease (medical specialty); Economic growth; Economics","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":[0.01387984,0.004881471,0.0056773,0.003888135,0.005116105,0.01188739,0.004751938,0.04187784,0.0146733],"category_scores_gemma":[0.06084489,0.001723008,0.004548748,0.002096749,0.00296823,0.006251311,0.002837283,0.04159756,0.01302702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003759973,"about_ca_system_score_gemma":0.01021231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004892295,"about_ca_topic_score_gemma":0.01074268,"domain_scores_codex":[0.9912441,0.001408605,0.001324335,0.0008616377,0.004450862,0.0007105776],"domain_scores_gemma":[0.9513468,0.02032145,0.002771497,0.001188343,0.0170404,0.007331424],"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":[0.00002598461,0.00001863337,0.00004233955,0.0001293812,0.00001694392,0.00008287271,0.00001586094,0.00002243301,0.00002805978,0.0001934076,0.9960521,0.003371907],"study_design_scores_gemma":[0.0001513903,0.00004589175,0.0005613444,0.001127899,0.0001324571,0.0001930638,0.0001267171,0.0002604787,0.0001286926,0.001405878,0.9958158,0.00005045942],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00003343836,0.001883108,0.0001140262,0.09750288,0.8986954,0.00003664935,0.00009078799,0.00004681702,0.001596865],"genre_scores_gemma":[0.0003409662,0.002699297,0.0001792514,0.06222063,0.9290195,0.00004980674,0.00005178652,0.00004237198,0.005396416],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.04187784,"threshold_uncertainty_score":0.07340455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02972605060186957,"score_gpt":0.3810424674883036,"score_spread":0.3513164168864341,"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."}}