{"id":"W3048650093","doi":"10.22541/au.159682257.79354554","title":"Fever clinics in China for the COVID-19 pandemic","year":2020,"lang":"en","type":"preprint","venue":"","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Impact","funders":"","keywords":"Pandemic; Isolation (microbiology); Coronavirus disease 2019 (COVID-19); Medicine; Infectious disease (medical specialty); Infection control; Intensive care medicine; China; Emerging infectious disease; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Medical emergency; Disease; Internal medicine; Geography; Biology","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":[0.001296855,0.000348299,0.0001563391,0.0005056756,0.002432912,0.001690848,0.0006926711,0.0008090695,0.01355938],"category_scores_gemma":[0.002017211,0.0002017957,0.0003634709,0.000819793,0.0009786311,0.001318169,0.001506491,0.0006642643,0.0006220826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003548093,"about_ca_system_score_gemma":0.01353486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04278578,"about_ca_topic_score_gemma":0.05438371,"domain_scores_codex":[0.9991111,0.0002939111,0.00003541161,0.0001152115,0.0001245917,0.0003197792],"domain_scores_gemma":[0.9983724,0.0002139447,0.0003357125,0.00007191615,0.0002353488,0.0007707869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004838022,0.0006084139,0.6439295,0.002150464,0.0001388164,0.003395478,0.01193032,0.001922181,0.006074716,0.0331522,0.06672215,0.2294918],"study_design_scores_gemma":[0.0001718883,0.0007245638,0.7556587,0.001415424,0.0002011892,0.001040784,0.01991507,0.00422569,0.002128994,0.008044143,0.2063538,0.0001196762],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.880168,0.0121607,0.004384236,0.05405606,0.001574147,0.0005235584,0.001685121,0.0003037982,0.04514433],"genre_scores_gemma":[0.9797902,0.003454478,0.003393218,0.003948706,0.0003061726,0.0001403395,0.0005316305,0.00002440286,0.008410863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04278578,"threshold_uncertainty_score":0.08507347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3448068693177216,"score_gpt":0.5215360731521286,"score_spread":0.176729203834407,"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."}}