{"id":"W3127769030","doi":"10.1017/ice.2021.46","title":"The pandemic of coronavirus disease 2019 (COVID-19): The good, the bad and the ugly!","year":2021,"lang":"en","type":"article","venue":"Infection Control and Hospital Epidemiology","topic":"Infection Control and Ventilation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Content (measure theory); Coronavirus; Virology; Medicine; Disease; Infectious disease (medical specialty); Mathematics; Outbreak; Internal medicine","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":[0.001962123,0.0006795459,0.0004715851,0.0007529383,0.001261765,0.005096783,0.0006064886,0.002509819,0.1471922],"category_scores_gemma":[0.007639281,0.000289095,0.0006593598,0.0009181582,0.0008704172,0.002824823,0.001645804,0.003263512,0.05700423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008331981,"about_ca_system_score_gemma":0.002830683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009494632,"about_ca_topic_score_gemma":0.01806677,"domain_scores_codex":[0.9991205,0.0001732069,0.00006178491,0.00005502197,0.0004171204,0.0001722697],"domain_scores_gemma":[0.9976732,0.0003847979,0.0002198802,0.00009228358,0.0006944449,0.0009353025],"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":[0.0001026316,0.00001814856,0.0007994295,0.0002093996,0.000007802243,0.00005948182,0.00005521094,0.00001180779,0.0003906608,0.001012916,0.9617857,0.03554668],"study_design_scores_gemma":[0.00005371406,0.0001090541,0.00860939,0.0007199835,0.00002725317,0.0002673746,0.0005247536,0.00008191486,0.0007074685,0.001272842,0.9875894,0.00003694996],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.008037125,0.02753053,0.002265279,0.5277601,0.1859888,0.0001816336,0.02502565,0.00271651,0.2204944],"genre_scores_gemma":[0.09653538,0.09559245,0.013159,0.2049282,0.0802101,0.0003776489,0.0409319,0.001993472,0.4662718],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1471922,"threshold_uncertainty_score":0.492407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03448092905307562,"score_gpt":0.3482000721209646,"score_spread":0.313719143067889,"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."}}