{"id":"W4390838792","doi":"10.1177/03611981231222238","title":"Modeling Telecommuting and Teleshopping Preferences in the Post-Pandemic Era","year":2024,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Telecommuting; Pandemic; Endogeneity; Ordered probit; Business; Probit; Coronavirus disease 2019 (COVID-19); Marketing; Demographic economics; Economics; Econometrics; Engineering; Medicine","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":[0.001595869,0.0004170489,0.0004236693,0.0007489238,0.0006006669,0.001977571,0.0009792882,0.001173035,0.0076711],"category_scores_gemma":[0.004645343,0.0004033573,0.0009549396,0.001289646,0.0006157723,0.001131067,0.0009706291,0.001644306,0.0007245989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002147326,"about_ca_system_score_gemma":0.002419781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1369932,"about_ca_topic_score_gemma":0.1598508,"domain_scores_codex":[0.9993871,0.0002754322,0.0000214313,0.00009293872,0.00003170052,0.0001913081],"domain_scores_gemma":[0.9964523,0.002240789,0.0005921639,0.0001609227,0.0002064035,0.0003473869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000665303,0.001190668,0.7851288,0.0001138469,0.0003456238,0.0006004281,0.002102626,0.170621,0.0007671013,0.0131959,0.002286457,0.02298235],"study_design_scores_gemma":[0.00007111961,0.0005466472,0.2406092,0.00008308542,0.0002109726,0.0001249609,0.007636452,0.7388052,0.0002690035,0.008572832,0.002997137,0.00007343361],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994402,0.00008883413,0.002944193,0.0005030069,0.00001107939,0.00003446485,0.0005538236,0.00001297201,0.001449682],"genre_scores_gemma":[0.9946795,0.0001771546,0.001388445,0.00004714188,0.00001267551,0.00005245412,0.0005308428,0.000007646706,0.003104177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1369932,"threshold_uncertainty_score":0.2723917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1469580594445593,"score_gpt":0.4351973351603561,"score_spread":0.2882392757157968,"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."}}