{"id":"W1988638385","doi":"10.3138/cpp.2013-018","title":"Reducing Automobile Dependency on Campus Using Transport Demand Management: A Case Study for Quebec City","year":2015,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Demand management; Mode choice; Revealed preference; Dependency (UML); Preference; Mode (computer interface); Transit (satellite); Transport engineering; Modal shift; Business; Travel behavior; Environmental economics; Measure (data warehouse); Public transport; Economics; Computer science; Econometrics; Microeconomics; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081005,0.0001228289,0.0001364582,0.0006265382,0.0008758424,0.0001402865,0.0001734292,0.00009605508,0.00003584985],"category_scores_gemma":[0.0001411406,0.0001398355,0.00004736457,0.000699346,0.00006860345,0.0003529298,0.000002715172,0.00008628215,0.000003972774],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001061447,"about_ca_system_score_gemma":0.005802843,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9674252,"about_ca_topic_score_gemma":0.988625,"domain_scores_codex":[0.9985923,0.00009252936,0.0002224858,0.0002864772,0.0002501271,0.000556133],"domain_scores_gemma":[0.9985594,0.00003252349,0.00007759143,0.0001815045,0.0001613089,0.0009876754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008712218,0.0007755961,0.2780095,0.0001208038,0.0004416577,0.007760296,0.3845902,0.0429008,0.000001902656,0.2011936,0.009396756,0.07472171],"study_design_scores_gemma":[0.01340362,0.0009786549,0.09171793,0.0002638549,0.0007996474,0.0005222176,0.4611639,0.01707644,0.00001386421,0.005417695,0.4050575,0.003584647],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9796901,0.0000237536,0.002046677,0.001514293,0.0002960008,0.001119223,0.0001082318,0.0001213607,0.01508039],"genre_scores_gemma":[0.9960674,0.000002174151,0.000626733,0.0003280644,0.0002639998,0.00006606253,0.00005078155,0.00001835713,0.002576443],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3956608,"threshold_uncertainty_score":0.9998333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06893117252175122,"score_gpt":0.3433335306829216,"score_spread":0.2744023581611703,"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."}}