{"id":"W4402168828","doi":"10.3138/cjms.v12i2.29","title":"Infection Control and Safety Protocols to Protect Sonographers and Patients During the COVID-19 Pandemic","year":2021,"lang":"en","type":"article","venue":"˜The œCanadian journal of medical sonography.","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Infection control; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Virology; Medicine; Coronavirus Infections; Intensive care medicine; Medical emergency; Pathology; Outbreak; Infectious disease (medical specialty)","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":[],"consensus_categories":[],"category_scores_codex":[0.002213184,0.0001699247,0.0003813984,0.0003418196,0.0008060292,0.0001183206,0.0001543931,0.0002038718,0.0001290783],"category_scores_gemma":[0.001855068,0.00009921997,0.0001681984,0.0006544988,0.0003722498,0.00008103316,0.00002839107,0.0009427449,0.000001422706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002605877,"about_ca_system_score_gemma":0.004385613,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01886814,"about_ca_topic_score_gemma":0.240965,"domain_scores_codex":[0.9976721,0.000343432,0.0005320375,0.0001959477,0.0007852851,0.0004712265],"domain_scores_gemma":[0.9952243,0.000325274,0.0002132931,0.0002141583,0.0002640325,0.003758965],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004054583,0.00003260808,0.9638878,0.0002452761,0.0001284712,0.0001330939,0.001067916,0.00000442303,0.00001527414,0.00002124408,0.0008680222,0.03319049],"study_design_scores_gemma":[0.004646868,0.0005616891,0.8327187,0.0003521039,0.00007339322,0.0009756118,0.000168049,0.00002130928,0.000003271859,0.0001434421,0.1602354,0.0001001526],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9063997,0.0006925233,0.000715244,0.08540549,0.0001650803,0.006539614,0.00001815876,0.00001742795,0.00004681628],"genre_scores_gemma":[0.9763459,0.0001894237,0.00004458142,0.02281267,0.0002738112,0.0003031323,0.000001505467,0.00001573128,0.0000132536],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2220969,"threshold_uncertainty_score":0.9876653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04091090011356389,"score_gpt":0.3591643680826616,"score_spread":0.3182534679690977,"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."}}