{"id":"W3041161889","doi":"10.1155/2020/8393724","title":"Experimental Study of Day-to-Day Route-Choice Behavior: Evaluating the Effect of ATIS Market Penetration","year":2020,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"China Scholarship Council; National Natural Science Foundation of China","keywords":"Market penetration; Travel time; Penetration (warfare); Simulation; Flow network; Transport engineering; Computer science; Travel behavior; Penetration rate; Operations research; Engineering; Mathematics; Mathematical optimization","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001559283,0.0006475615,0.0005564889,0.0003274722,0.0002447006,0.0004108094,0.0005390173,0.0005538939,0.001831781],"category_scores_gemma":[0.003973445,0.0003062527,0.0005152326,0.0002390665,0.0004201448,0.0005618762,0.0005247166,0.0006377095,0.0002217935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001885317,"about_ca_system_score_gemma":0.0003089419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005700795,"about_ca_topic_score_gemma":0.0005896965,"domain_scores_codex":[0.998697,0.0006084855,0.0001276568,0.0002621767,0.0001831706,0.0001215074],"domain_scores_gemma":[0.9952993,0.002798448,0.0006212231,0.0005061106,0.0003965558,0.0003783356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.03596235,0.116147,0.1058227,0.001892299,0.0009511773,0.000583871,0.004261809,0.02220812,0.6199951,0.001458459,0.0009190522,0.08979814],"study_design_scores_gemma":[0.002317466,0.5308378,0.2005825,0.00008327302,0.0009223591,0.0003827269,0.002199375,0.03890451,0.2191128,0.0009259222,0.003495061,0.0002361824],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989862,0.00001559201,0.0006883472,0.000008146596,0.000007312025,0.00007583124,0.00003780321,0.000009170144,0.0001716639],"genre_scores_gemma":[0.9919334,0.00009154401,0.006188549,0.00004805943,0.0000214236,0.0006143815,0.0002059314,0.00001027522,0.0008865375],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001831781,"threshold_uncertainty_score":0.008246422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02785901884087525,"score_gpt":0.3658150070515999,"score_spread":0.3379559882107246,"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."}}