{"id":"W4407918980","doi":"10.1186/s40068-025-00394-7","title":"Assessment of mobility trends and transportation-related emissions in Canadian cities during the post-COVID-19 pandemic period","year":2025,"lang":"en","type":"article","venue":"ENVIRONMENTAL SYSTEMS RESEARCH","topic":"COVID-19 impact on air quality","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Concordia University","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Period (music); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Geography; Environmental science; Outbreak; Virology; Medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003191176,0.0001646332,0.0002433883,0.0003279043,0.0005414267,0.00004674436,0.0003713451,0.0001345944,0.00219773],"category_scores_gemma":[0.0001786052,0.0001325839,0.00006120576,0.0006950506,0.0009687277,0.0001532015,0.0001352594,0.0005046148,0.0000149258],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005399745,"about_ca_system_score_gemma":0.0003440831,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5946482,"about_ca_topic_score_gemma":0.2858847,"domain_scores_codex":[0.9967561,0.0008478665,0.0005462873,0.0004729725,0.0007705035,0.0006062624],"domain_scores_gemma":[0.9985361,0.0004164379,0.00007369588,0.0004884111,0.000004215578,0.0004811312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001675644,0.00008343939,0.9819987,0.0001076784,0.00001585265,0.00001168945,0.002714888,0.001931774,0.01249754,0.0001004778,0.0000555625,0.000465659],"study_design_scores_gemma":[0.0005125165,0.00004131802,0.9894059,0.00003538207,0.000005594995,0.00000584697,0.005884518,0.0008274291,0.00004294266,0.00005822761,0.003065018,0.0001153121],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947349,0.0002237738,0.000006175348,0.001776724,0.00005154225,0.0006572162,0.0002231521,0.00001678753,0.002309717],"genre_scores_gemma":[0.996633,0.00006499946,0.000008225918,0.00008802775,0.00000544765,0.0001336107,0.00003273898,0.00001130098,0.00302263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3087634,"threshold_uncertainty_score":0.9987144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0407964194366456,"score_gpt":0.3874552315241752,"score_spread":0.3466588120875296,"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."}}