{"id":"W2971592801","doi":"10.1007/s11067-020-09505-6","title":"Spatial Aggregation Issues in Traffic Assignment Models","year":2020,"lang":"en","type":"article","venue":"Networks and Spatial Economics","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"Association Nationale de la Recherche et de la Technologie","keywords":"Computer science; Operations research; TRIPS architecture; Transport engineering; Trip distribution; Order (exchange); Engineering; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001537838,0.00006835508,0.0001185133,0.00002350331,0.0001961958,0.00005798175,0.00004920938,0.00009507585,0.0000382751],"category_scores_gemma":[0.00001040262,0.00007880413,0.00002088925,0.00005618663,0.00004357587,0.0001826407,0.000006882145,0.00007894007,0.000001692961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003366388,"about_ca_system_score_gemma":0.0000433908,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004358192,"about_ca_topic_score_gemma":0.02184377,"domain_scores_codex":[0.9994036,0.00004397833,0.0001932622,0.0001683121,0.00005097649,0.0001398508],"domain_scores_gemma":[0.9997619,0.00003275536,0.00006745433,0.00003066349,0.00001440578,0.00009282298],"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":[0.0000247303,0.000008562241,0.002716065,0.000001901085,0.000003066897,7.192861e-7,0.008008077,0.9209895,1.241467e-7,0.002083792,0.00005248272,0.06611097],"study_design_scores_gemma":[0.0002861333,0.00003008424,0.002049063,0.000008738993,0.000005011511,4.874502e-8,0.0004000412,0.9920732,0.000001289295,0.0002166058,0.004835651,0.00009409803],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5533946,0.0004084681,0.4342999,0.007974911,0.0003953159,0.0003498685,0.00001064003,0.00009530504,0.003071075],"genre_scores_gemma":[0.9970835,0.001745597,0.0003109421,0.0003435325,0.0004252167,0.000006243402,0.00004492437,0.000007272821,0.00003280361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4436889,"threshold_uncertainty_score":0.996005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02091499488984167,"score_gpt":0.2396646037447416,"score_spread":0.2187496088548999,"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."}}