{"id":"W4377969088","doi":"10.1016/j.jenvman.2023.118252","title":"The influence of COVID-19 pandemic on PM2.5 air quality in Northern Taiwan from Q1 2020 to Q2 2021","year":2023,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Ministry of Science and Technology, Taiwan; Shanghai Educational Development Foundation; Ministry of Education","keywords":"Coronavirus disease 2019 (COVID-19); Air quality index; China; Environmental science; Geography; Quarter (Canadian coin); Pollution; Range (aeronautics); Demography; Meteorology; Medicine; Biology; Disease","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005120492,0.0002550451,0.0001843255,0.0005268322,0.0004795758,0.0008970568,0.0005429182,0.000946786,0.00284183],"category_scores_gemma":[0.001332773,0.000220444,0.000681639,0.0007291614,0.0003487671,0.0006490493,0.001336114,0.0009830985,0.0003589826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001465672,"about_ca_system_score_gemma":0.002027723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1904619,"about_ca_topic_score_gemma":0.189512,"domain_scores_codex":[0.9996092,0.00004146915,0.00003189566,0.00006676044,0.00003851227,0.0002122337],"domain_scores_gemma":[0.9988559,0.00009695674,0.0003207942,0.00004651907,0.0003148588,0.0003649658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002502672,0.00006427865,0.9935378,0.00003341616,0.0000914706,0.0004835904,0.0005237795,0.0005159114,0.0007269248,0.0002195825,0.001283943,0.002269003],"study_design_scores_gemma":[0.000002912425,0.00004472431,0.9977103,0.00001140655,0.00002248262,0.00003990976,0.001026996,0.0004247366,0.00005942761,0.00002790322,0.0006224952,0.000006621405],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949299,0.0002463626,0.00006710833,0.0009113715,0.00004572795,0.00001834631,0.001984523,0.00000989627,0.001786762],"genre_scores_gemma":[0.9975532,0.00008386575,0.00002492893,0.0001414191,0.00001681612,0.0000122055,0.001399167,0.000003078877,0.0007654886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1904619,"threshold_uncertainty_score":0.3787066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03847470387555918,"score_gpt":0.3289760046449515,"score_spread":0.2905013007693923,"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."}}