{"id":"W3122134838","doi":"10.1016/j.jeem.2021.102427","title":"On the effects of COVID-19 safer-at-home policies on social distancing, car crashes and pollution","year":2021,"lang":"en","type":"article","venue":"Journal of Environmental Economics and Management","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"SAFER; Social distance; Residence; Coronavirus disease 2019 (COVID-19); TRIPS architecture; Business; Pollution; Air pollution; Air quality index; Geography; Environmental health; Demographic economics; Computer security; Transport engineering; Economics; Engineering; Computer science; Medicine; Meteorology","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":[0.00315792,0.000498224,0.0008396812,0.0008692966,0.001146155,0.002540218,0.001440017,0.003131395,0.02075413],"category_scores_gemma":[0.01136137,0.0003333372,0.00228169,0.001203378,0.001368742,0.001366584,0.002292674,0.003111153,0.0006987349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004081418,"about_ca_system_score_gemma":0.004169686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1339071,"about_ca_topic_score_gemma":0.1815818,"domain_scores_codex":[0.9954151,0.002061356,0.0001767779,0.0002497799,0.0002580679,0.001838889],"domain_scores_gemma":[0.9821753,0.01077402,0.003446934,0.0004056953,0.001161738,0.002036312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.03067478,0.0246372,0.7447388,0.0009776256,0.004831705,0.002092174,0.001947251,0.06429988,0.002167898,0.05363987,0.020663,0.04932983],"study_design_scores_gemma":[0.002084931,0.00729571,0.9190714,0.0003060279,0.003948878,0.0001249582,0.009880537,0.02838391,0.002301933,0.01111744,0.01534151,0.0001427771],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9736019,0.001521288,0.0001988884,0.006082653,0.0002063341,0.00009683652,0.002016126,0.00002026251,0.01625558],"genre_scores_gemma":[0.9946992,0.0006270793,0.00007070268,0.0005427395,0.00007804795,0.00003590234,0.0004015693,0.000004141225,0.003540573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1339071,"threshold_uncertainty_score":0.2662554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01042648747435983,"score_gpt":0.2359767845814704,"score_spread":0.2255502971071106,"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."}}