{"id":"W2242138927","doi":"10.2495/ut020281","title":"IMPACT OF TELEWORK AND FLEXTIME ON REDUCING FUTURE URBAN TRAVEL DEMAND: THE CASE OF MONTREAL AND QUEBEC (CANADA), 1996-2016","year":2002,"lang":"en","type":"article","venue":"WIT transactions on the built environment","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Telecommuting; Travel behavior; Flexibility (engineering); Business; Demand management; Transport engineering; On demand; Regional science; Geography; Engineering; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005375952,0.00047241,0.0002258753,0.0007783018,0.001367244,0.001046583,0.001274094,0.0004465939,0.004346788],"category_scores_gemma":[0.001571726,0.0001602161,0.0005141351,0.001896128,0.0007660409,0.0003740974,0.0006855929,0.0004397358,0.0002244682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03852349,"about_ca_system_score_gemma":0.02817527,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9954731,"about_ca_topic_score_gemma":0.9976331,"domain_scores_codex":[0.9992182,0.0001391058,0.00001831984,0.00005590472,0.0001546271,0.0004137514],"domain_scores_gemma":[0.9989296,0.0001099395,0.000113335,0.00003691611,0.0004480278,0.0003621837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00161967,0.000811384,0.7561756,0.0004480482,0.0005480162,0.00158606,0.002311603,0.1003773,0.004171321,0.005294383,0.01536976,0.1112869],"study_design_scores_gemma":[0.0001055456,0.000268286,0.9681511,0.00005370753,0.0001148641,0.00008864702,0.006112318,0.01298702,0.0009183887,0.0001488904,0.01100642,0.00004483116],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876325,0.0007747732,0.0004257688,0.0009647823,0.0000143359,0.00008775082,0.002826556,0.00002899369,0.007244416],"genre_scores_gemma":[0.9928838,0.0003359592,0.000440435,0.0000696526,0.000005021274,0.0000390602,0.0008835881,0.000007538128,0.005335054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03852349,"threshold_uncertainty_score":0.2795088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009177454646178843,"score_gpt":0.2156380493082491,"score_spread":0.2064605946620702,"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."}}