{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001520914,0.0001597435,0.0002014383,0.000008862167,0.0001683154,0.00001129595,0.00004591865,0.00008301957,0.0001726872],"category_scores_gemma":[0.0001158537,0.0001365399,0.00003942793,0.00003116564,0.0002074557,0.00007497552,0.0001801406,0.00007181313,0.00004760483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001445331,"about_ca_system_score_gemma":0.000002799547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002231659,"about_ca_topic_score_gemma":0.000003082808,"domain_scores_codex":[0.9990701,0.00008179796,0.0001992954,0.0003076944,0.0001452023,0.00019589],"domain_scores_gemma":[0.9996309,0.00006573826,0.00007674793,0.00008787569,5.97702e-7,0.0001381174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004763368,0.0004098953,0.7252849,0.0001761965,0.0002534346,0.00002791013,0.002146261,0.0002652539,0.01535772,0.06597332,0.008973852,0.1806549],"study_design_scores_gemma":[0.0007404669,0.0002750357,0.9194414,0.000008340608,0.00007904625,0.000007589691,0.0001858754,0.0009013726,0.00008756659,0.02707072,0.05092718,0.0002753976],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9802443,0.001826908,0.005884435,0.01121064,0.00004114238,0.0002723154,0.0001058343,0.00006953592,0.0003448522],"genre_scores_gemma":[0.9950439,0.001364042,0.001236501,0.002164288,0.000098461,0.00001002529,0.000007814815,0.00000695614,0.00006804435],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1941565,"threshold_uncertainty_score":0.5567936,"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."}}