{"id":"W3090577155","doi":"10.5539/ep.v9n2p19","title":"Global Environmental Pollution and Coronavirus","year":2020,"lang":"en","type":"article","venue":"Environment and Pollution","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus; Case fatality rate; Pandemic; Coronavirus disease 2019 (COVID-19); Mortality rate; Severe acute respiratory syndrome coronavirus; Natural death; Environmental health; Pollution; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Virology; Geography; Medicine; Biology; Demography; Medical emergency; Ecology; Population; Infectious disease (medical specialty); Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006685128,0.0005247191,0.0002518194,0.001505117,0.0002599796,0.001331971,0.0002514899,0.0007841352,0.005244456],"category_scores_gemma":[0.002165852,0.0001131791,0.0004462133,0.00185682,0.001392926,0.001740443,0.001015168,0.0008922657,0.0003289215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008352339,"about_ca_system_score_gemma":0.0005862922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002317836,"about_ca_topic_score_gemma":0.00170801,"domain_scores_codex":[0.9995184,0.000236033,0.00001681272,0.0000714566,0.0001159847,0.00004133529],"domain_scores_gemma":[0.9988668,0.0006731129,0.0002445151,0.00006861732,0.00009734433,0.00004962605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00003112777,0.00007376973,0.02063267,0.0004650587,0.0001080821,0.0003257169,0.0004116692,0.03203418,0.0005349083,0.8712135,0.01280028,0.06136911],"study_design_scores_gemma":[0.00001008565,0.0001313711,0.02552233,0.0003603988,0.00005677158,0.0004980701,0.0007496504,0.02131409,0.0003498548,0.8186015,0.1323774,0.00002863144],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2306624,0.1925008,0.1400315,0.06343783,0.00256138,0.0001398469,0.002142327,0.0003115081,0.3682124],"genre_scores_gemma":[0.9006356,0.06771132,0.009068332,0.001730626,0.001433645,0.00008483876,0.000559298,0.00003997079,0.01873639],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005244456,"threshold_uncertainty_score":0.01754451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1518666561583585,"score_gpt":0.3457341777504003,"score_spread":0.1938675215920418,"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."}}