{"id":"W4231850171","doi":"10.32920/ryerson.14654565","title":"Multi-Period Transportation Equilibrium Approach For Transportation Planning","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Lag; Time lag; Term (time); Period (music); Travel time; Distributed lag; Transportation planning; Computer science; Transport engineering; Econometrics; Economics; Engineering; Physics","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":[0.001119005,0.0009211549,0.000773456,0.0009989938,0.0004663912,0.001173081,0.00143092,0.0008041866,0.008804303],"category_scores_gemma":[0.001809652,0.0003457959,0.00117253,0.001631204,0.0006537006,0.001828894,0.001062124,0.00212428,0.001259365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001805141,"about_ca_system_score_gemma":0.001133585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004172618,"about_ca_topic_score_gemma":0.004140011,"domain_scores_codex":[0.9992948,0.0003804569,0.00002354568,0.00009841378,0.0001492743,0.00005347522],"domain_scores_gemma":[0.9996043,0.0002196171,0.00004501342,0.00003472144,0.00006724311,0.00002914659],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001703118,0.00002563773,0.000215537,0.000110896,0.0000639421,0.00006797279,0.00007006136,0.2210653,0.0003026925,0.7557509,0.002805166,0.01950494],"study_design_scores_gemma":[0.00001196829,0.00003459731,0.0001401858,0.00002797989,0.00001897362,0.00004291246,0.0000456667,0.4918058,0.0001245744,0.4904785,0.01725465,0.00001419993],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00339255,0.002244842,0.9768248,0.0008106065,0.0001951114,0.00003687051,0.0002169593,0.00008311585,0.01619519],"genre_scores_gemma":[0.5883505,0.00885354,0.3565482,0.000564832,0.0006046238,0.0005872464,0.0008009814,0.0002682375,0.04342171],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008804303,"threshold_uncertainty_score":0.02945328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06023664899919299,"score_gpt":0.3301490154134515,"score_spread":0.2699123664142585,"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."}}