{"id":"W4297872509","doi":"10.1080/19427867.2022.2122110","title":"Activity-based integrated modelling for assessing COVID-19 impacts on transport operations and emissions","year":2022,"lang":"en","type":"article","venue":"Transportation Letters","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Microsimulation; Environmental science; Transport engineering; Greenhouse gas; Queue; Estimation; Process (computing); Environmental economics; Computer science; Simulation; Automotive engineering; Engineering; Economics; Systems engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003586573,0.0007373052,0.0005405992,0.0005571173,0.0003273682,0.000853355,0.0007914674,0.0007949508,0.001408572],"category_scores_gemma":[0.0008395103,0.0003436928,0.0008737473,0.0005146308,0.0002702701,0.0009861093,0.0007920411,0.0006842255,0.0001686696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00132301,"about_ca_system_score_gemma":0.001410109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04297832,"about_ca_topic_score_gemma":0.03165379,"domain_scores_codex":[0.9997697,0.00007146298,0.00001294399,0.00005296304,0.00004806599,0.00004486777],"domain_scores_gemma":[0.9997305,0.0001085353,0.00003769761,0.00003062343,0.00006822278,0.00002450206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001508004,0.00004669492,0.002660595,0.00001204657,0.00001944592,0.00001227103,0.00001168155,0.9930664,0.0008699324,0.0006977858,0.00005605813,0.002531993],"study_design_scores_gemma":[0.00000245501,0.00002733758,0.0008034492,0.000002411297,0.000009185676,0.000002672427,0.00001788672,0.9983667,0.0002729888,0.0003093469,0.0001813729,0.000004208867],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.733925,0.0001973151,0.248599,0.000267711,0.0000618922,0.0002296808,0.001550206,0.0005296156,0.01463962],"genre_scores_gemma":[0.9842524,0.0001253581,0.01372087,0.00002277856,0.00000785548,0.0001152882,0.0005300611,0.0000266505,0.00119873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04297832,"threshold_uncertainty_score":0.08545631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08036556084399175,"score_gpt":0.3484714571274085,"score_spread":0.2681058962834167,"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."}}