{"id":"W4367843760","doi":"10.1177/03611981231166384","title":"COVID-19 and Teleworking: Lessons, Current Issues and Future Directions for Transport and Land-Use Planning","year":2023,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Work (physics); Telecommuting; Incentive; Business; Land use; Environmental planning; Traffic congestion; Urban planning; Land-use planning; Transport engineering; Engineering; Geography; Economics; Civil engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.006384789,0.0007724852,0.0009023564,0.002684862,0.00298997,0.0111742,0.003956219,0.004931345,0.02403548],"category_scores_gemma":[0.008795905,0.0003549574,0.001069921,0.007004684,0.004810803,0.01260652,0.00544819,0.006323646,0.002348986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007556758,"about_ca_system_score_gemma":0.02735322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05237866,"about_ca_topic_score_gemma":0.08187676,"domain_scores_codex":[0.9972218,0.001320452,0.0001825686,0.0002725079,0.0004748322,0.0005278],"domain_scores_gemma":[0.9873626,0.006060566,0.0006865952,0.0005487095,0.002920006,0.002421545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00007754184,0.0002257068,0.009951048,0.003391732,0.00004200458,0.0006396275,0.004350475,0.003287765,0.0001984983,0.268249,0.1666596,0.542927],"study_design_scores_gemma":[0.0000127364,0.00009754905,0.005386708,0.01044564,0.0000314453,0.0003010605,0.04878242,0.00232135,0.0002659273,0.1208203,0.8114373,0.0000974688],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01281814,0.2403836,0.02189027,0.5748446,0.007599792,0.0002423079,0.001527507,0.000274668,0.1404192],"genre_scores_gemma":[0.2949764,0.5269393,0.06729333,0.05295619,0.003580524,0.0009474885,0.003549446,0.0002876781,0.04946951],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05237866,"threshold_uncertainty_score":0.1041476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1964969041799332,"score_gpt":0.4809617935590502,"score_spread":0.2844648893791171,"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."}}