{"id":"W4223453620","doi":"10.1016/j.envres.2022.113240","title":"Research on COVID-19 and air pollution: A path towards advancing exposure science","year":2022,"lang":"en","type":"article","venue":"Environmental Research","topic":"COVID-19 impact on air quality","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"American Petroleum Institute","keywords":"Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Air pollution; Environmental science; Pollution; Betacoronavirus; Environmental health; Virology; Medicine; Biology; Infectious disease (medical specialty); Outbreak; Ecology; Disease","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["sts","insufficient_payload"],"category_scores_codex":[0.02336079,0.0002376054,0.000213217,0.0005663151,0.005432213,0.0001165699,0.001343021,0.00007098888,0.01785072],"category_scores_gemma":[0.00172243,0.0002405893,0.0000657076,0.002300486,0.005172958,0.0005015248,0.006494136,0.001884744,0.000895772],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01361682,"about_ca_system_score_gemma":0.0005969115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00193375,"about_ca_topic_score_gemma":0.00007448093,"domain_scores_codex":[0.9863935,0.002209874,0.0003350759,0.001400144,0.007844039,0.001817352],"domain_scores_gemma":[0.9965948,0.0008628462,0.00006354832,0.001050573,0.000008982619,0.001419267],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002294854,0.004961327,0.3253904,0.0002062406,0.00004827295,0.0010863,0.02220788,0.05222923,0.2977962,0.003174473,0.05130484,0.2393],"study_design_scores_gemma":[0.001650487,0.003191723,0.6636235,0.00001567275,0.000004780405,0.0001007649,0.02063192,0.001146824,0.004710092,0.00557911,0.2987154,0.0006297268],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9777417,0.0001626582,0.00007164916,0.01335788,0.0001033375,0.0009058624,0.0001221099,0.00006270238,0.007472084],"genre_scores_gemma":[0.9930535,0.00009795672,0.0002255647,0.004115952,0.00006005794,0.0002570995,0.00001079536,0.00003581206,0.002143295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3382331,"threshold_uncertainty_score":0.9998822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1144399264195593,"score_gpt":0.4474520906402703,"score_spread":0.3330121642207111,"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."}}