{"id":"W3013927063","doi":"10.1017/dmp.2020.55","title":"Roadblocks to Infection Prevention Efforts in Health Care: SARS-CoV-2/COVID-19 Response","year":2020,"lang":"en","type":"article","venue":"Disaster Medicine and Public Health Preparedness","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Outbreak; Infection control; Pandemic; Public health; Health care; Personal protective equipment; Medicine; Transmission (telecommunications); Coronavirus disease 2019 (COVID-19); Disease; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Medical emergency; Business; Environmental health; Infectious disease (medical specialty); Political science; Intensive care medicine; Nursing; Virology; Computer science","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"],"consensus_categories":[],"category_scores_codex":[0.003371887,0.0003671678,0.001065864,0.0006853685,0.0002867596,0.00004318608,0.0001206927,0.0001890437,0.00007876274],"category_scores_gemma":[0.00505695,0.0003181155,0.000083717,0.001342027,0.0001140152,0.0002702799,0.0001251083,0.0004784096,0.00001630913],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001788554,"about_ca_system_score_gemma":0.00963005,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0197568,"about_ca_topic_score_gemma":0.007171201,"domain_scores_codex":[0.9948469,0.001160195,0.001351342,0.0008889622,0.0006686372,0.001083939],"domain_scores_gemma":[0.9950491,0.0003313628,0.0003475531,0.0005048036,0.0001859391,0.003581285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004889663,0.0003137835,0.03102648,0.01150489,0.00004712189,0.00008529664,0.7975716,0.00001241822,0.0002659549,0.0001303324,0.06418217,0.08997031],"study_design_scores_gemma":[0.007792446,0.01008108,0.04922699,0.001529796,0.00002571394,0.0001438371,0.03708069,0.0001819073,0.00001132048,0.00006509482,0.8934602,0.0004009521],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5983074,0.001225516,0.00237871,0.3955255,0.0002904055,0.001968406,0.0000157758,0.0001537157,0.0001345953],"genre_scores_gemma":[0.7123012,0.0002471838,0.00009250848,0.286683,0.0003540733,0.0001208158,0.0001266586,0.00003481119,0.00003976521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.829278,"threshold_uncertainty_score":0.9999271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2044599814318754,"score_gpt":0.481129717184407,"score_spread":0.2766697357525316,"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."}}