{"id":"W2019458693","doi":"10.1002/atr.5670380206","title":"Real time traffic information and its impacts on route switching behavior of expressway drivers","year":2004,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Structural equation modeling; Latent variable; Computer science; Transport engineering; Predictive modelling; Travel behavior; Travel time; Engineering; Machine learning","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0007022654,0.0002076842,0.0001559113,0.0005048164,0.0001748523,0.0008382429,0.0002325546,0.0003809829,0.001460795],"category_scores_gemma":[0.003912296,0.0001458975,0.0003898171,0.0003994432,0.0002537322,0.0003311106,0.0003020332,0.0004452059,0.0001306828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003878172,"about_ca_system_score_gemma":0.0003481003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01315657,"about_ca_topic_score_gemma":0.01107398,"domain_scores_codex":[0.9994436,0.0002800697,0.00003144486,0.00005516883,0.0001002302,0.00008948697],"domain_scores_gemma":[0.9958137,0.002275937,0.001030029,0.0002252639,0.0003684085,0.0002867302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000583059,0.0005883733,0.9791581,0.00002435945,0.0001633541,0.000236363,0.0007476145,0.007622781,0.003371915,0.0002798338,0.0001127512,0.007111548],"study_design_scores_gemma":[0.00001357558,0.0005294868,0.9714683,0.000008711451,0.0001049557,0.00008126756,0.001450153,0.02480475,0.001084677,0.0002615797,0.0001742515,0.00001828225],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998235,0.000008277116,0.00004332434,0.00001134806,5.674963e-7,0.000001081822,0.00001707587,8.634358e-7,0.00009386561],"genre_scores_gemma":[0.9998513,0.00001087465,0.00003309022,0.000001994433,6.227031e-7,0.000001195943,0.00003300267,5.127974e-7,0.00006735267],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01315657,"threshold_uncertainty_score":0.02615994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00781559428450887,"score_gpt":0.2670551923962691,"score_spread":0.2592395981117602,"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."}}