{"id":"W4399828379","doi":"10.32920/26060839","title":"Indirect Positive Effects of the COVID-19 Pandemic on Air Pollution in Canadian CMAs/CAs","year":2024,"lang":"en","type":"preprint","venue":"","topic":"COVID-19 impact on air quality","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Pollution; Air pollution; Environmental science; Environmental health; Virology; Medicine; Chemistry; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004728391,0.0006758886,0.0003695195,0.001046092,0.001520356,0.001542391,0.001003542,0.0004694942,0.006743878],"category_scores_gemma":[0.00309979,0.0002359596,0.001350166,0.001970485,0.0007701159,0.0005884301,0.002223064,0.001025822,0.0002638336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01713132,"about_ca_system_score_gemma":0.03565308,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9857219,"about_ca_topic_score_gemma":0.9928536,"domain_scores_codex":[0.9991313,0.00007623413,0.00003699145,0.0001430905,0.0002119455,0.0004004443],"domain_scores_gemma":[0.9984989,0.000166185,0.0003143449,0.00007454926,0.0006223845,0.0003236416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001308502,0.00004824257,0.9837714,0.00009709079,0.0002226663,0.0002092295,0.0007025237,0.0007636396,0.0002752994,0.0007087585,0.002334013,0.01073635],"study_design_scores_gemma":[0.000004080157,0.00002219377,0.9953297,0.0000343876,0.00009204494,0.00002492841,0.001376282,0.0004653461,0.0001180176,0.0000794985,0.002438252,0.00001520612],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9663165,0.001304011,0.0003340034,0.00242035,0.00007640519,0.00007585622,0.01073903,0.00004085523,0.0186931],"genre_scores_gemma":[0.9940884,0.0006802546,0.0002731386,0.0001683482,0.00001740713,0.00002549288,0.001932779,0.000008270549,0.002805784],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01713132,"threshold_uncertainty_score":0.124297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02883610923337901,"score_gpt":0.3245617832534858,"score_spread":0.2957256740201069,"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."}}