{"id":"W2182939506","doi":"","title":"THE GREATER TORONTO AREA TRAVEL DEMAND MODELLING SYSTEM VERSION 2.0 VOLUME I: MODEL OVERVIEW","year":2001,"lang":"en","type":"article","venue":"","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Volume (thermodynamics); Computer science; Environmental science; Regional science; Geography; Transport engineering; Operations research; Engineering","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":[0.0003351689,0.001308308,0.0008266085,0.00093657,0.0006908535,0.001798384,0.001856817,0.0009823055,0.01695015],"category_scores_gemma":[0.001060641,0.000744319,0.0007751786,0.003109378,0.0002232639,0.0009624693,0.000602442,0.0008651039,0.004892442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007576402,"about_ca_system_score_gemma":0.007257179,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7676519,"about_ca_topic_score_gemma":0.7295929,"domain_scores_codex":[0.999737,0.00005777447,0.00001721279,0.00004675682,0.00009418673,0.00004721913],"domain_scores_gemma":[0.9995952,0.0000702959,0.00002799248,0.00003100933,0.0002460337,0.00002935619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001407498,0.00005831182,0.006037896,0.0005260937,0.00009898196,0.0001142418,0.0001839866,0.8254023,0.0009383241,0.01075977,0.1217493,0.03399],"study_design_scores_gemma":[0.00008390885,0.00004383934,0.009417008,0.0001625025,0.0001310676,0.00007093138,0.0001610419,0.7751707,0.001024453,0.004347579,0.2092983,0.00008857995],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.1075529,0.007016781,0.1586771,0.003638269,0.0005395449,0.001739461,0.5205317,0.009532361,0.1907719],"genre_scores_gemma":[0.5062062,0.009140924,0.09174412,0.0004163448,0.0002800944,0.001932319,0.2732195,0.001971101,0.1150894],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.2323481,"threshold_uncertainty_score":0.467433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04870024679623131,"score_gpt":0.2695993650656901,"score_spread":0.2208991182694588,"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."}}