{"id":"W3029962732","doi":"10.1007/s00247-020-04704-2","title":"Preparedness for the COVID-19 pandemic in a tertiary pediatric radiology department","year":2020,"lang":"en","type":"letter","venue":"Pediatric Radiology","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children","funders":"Hospital for Sick Children","keywords":"Medicine; Coronavirus disease 2019 (COVID-19); Pandemic; Preparedness; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Tertiary care; Neuroradiology; Pediatric Radiology; Coronavirus Infections; Medical emergency; Radiology; Emergency medicine; Virology; Pathology; Outbreak; Infectious disease (medical specialty); Disease","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002455655,0.0006139202,0.0006462732,0.0006512459,0.01298893,0.004808766,0.00176526,0.04528929,0.01990663],"category_scores_gemma":[0.01591104,0.0009344314,0.001180937,0.0005854531,0.003386748,0.003448938,0.003287888,0.03699379,0.003989638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009599655,"about_ca_system_score_gemma":0.02402259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02868987,"about_ca_topic_score_gemma":0.08083164,"domain_scores_codex":[0.9967178,0.000718043,0.0003251436,0.00031716,0.0005450502,0.001376893],"domain_scores_gemma":[0.9873582,0.002562882,0.0008964317,0.0002124762,0.001582226,0.007387748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00007103358,0.000215518,0.01164434,0.00009685557,0.0000308478,0.05882609,0.001716904,0.0003974207,0.0009165031,0.005827189,0.9114181,0.008839224],"study_design_scores_gemma":[0.0001266859,0.0003869249,0.01378038,0.001185051,0.00006170751,0.03720338,0.02246831,0.002289398,0.0008609532,0.01472957,0.9067003,0.000207427],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.004488842,0.0003122422,0.00009926231,0.9816953,0.00541112,0.00002671171,0.00005190461,0.00002900264,0.007885634],"genre_scores_gemma":[0.03357979,0.0009922946,0.0006612339,0.9356148,0.0140653,0.00006941131,0.00005753548,0.00006758029,0.0148921],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04528929,"threshold_uncertainty_score":0.06965071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08135448411145935,"score_gpt":0.3772659463338333,"score_spread":0.2959114622223739,"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."}}