{"id":"W3120057666","doi":"10.47672/ajhmn.635","title":"REVIEW ARTICLE: EPIDEMIOLOGY OF COVID’19","year":2020,"lang":"en","type":"article","venue":"American Journal of Health Medicine and Nursing Practice","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pandemic; Public health; Outbreak; Isolation (microbiology); Coronavirus disease 2019 (COVID-19); Medicine; Epidemiology; China; Quarter (Canadian coin); Environmental health; Virology; Infectious disease (medical specialty); Disease; Political science; Geography; Biology; Pathology; Bioinformatics","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.006339451,0.0001416724,0.001629974,0.0001420768,0.00008114774,0.000001403141,0.00009492149,0.00003103646,0.00005657676],"category_scores_gemma":[0.07133874,0.0001038456,0.00008500256,0.0006511564,0.00088386,0.0001446109,0.00001427575,0.0005722739,0.000002431004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001820573,"about_ca_system_score_gemma":0.001443708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004539127,"about_ca_topic_score_gemma":6.716025e-7,"domain_scores_codex":[0.9961318,0.001503601,0.001545063,0.0002068375,0.0003209009,0.0002918024],"domain_scores_gemma":[0.987195,0.007669432,0.003282693,0.0002027242,0.0004084824,0.001241719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001519474,0.0003411766,0.004640597,0.004870115,0.0001483763,0.0001213716,0.007172749,0.00001128115,0.0001121683,0.0001894525,0.4631981,0.5176751],"study_design_scores_gemma":[0.002728367,0.0197786,0.004534899,0.02429419,0.00124203,0.005780884,0.008082284,0.0001113705,0.00001209303,0.000207181,0.9330943,0.0001337745],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002851301,0.2031453,0.003992211,0.7896228,0.0001414774,0.0001851825,8.53231e-7,0.00001171145,0.00004906009],"genre_scores_gemma":[0.09852035,0.1350617,0.007282681,0.7587402,0.0003749701,0.000001207967,0.00000142864,0.00001524335,0.000002216196],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.5175413,"threshold_uncertainty_score":0.9364838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1894172844505405,"score_gpt":0.5308614397050514,"score_spread":0.3414441552545109,"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."}}