{"id":"W2121151285","doi":"10.1016/j.tra.2004.04.005","title":"Integrated scheduling of daily work activities and morning–evening commutes with bottleneck congestion","year":2004,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":117,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Natural Science Foundation of China; University of Alberta","keywords":"Bottleneck; Computer science; Rush hour; Schedule; Scheduling (production processes); Work (physics); Queueing theory; Traffic congestion; Duration (music); Operations research; Minification; Transport engineering; Operations management; Computer network; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001781084,0.00009131754,0.0001403505,0.0002196603,0.0006273793,0.00009887867,0.00006256345,0.00008854713,0.00001389659],"category_scores_gemma":[0.000979575,0.00008609919,0.00001411755,0.0007988882,0.0005696304,0.0009150297,0.00000193015,0.0003127131,0.000001043219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003600543,"about_ca_system_score_gemma":0.0004975763,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00965471,"about_ca_topic_score_gemma":0.003429832,"domain_scores_codex":[0.9984633,0.0004217818,0.0002158424,0.0001822507,0.0004680807,0.0002486868],"domain_scores_gemma":[0.997638,0.001642491,0.0001465727,0.00007639424,0.0003750516,0.0001214403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.004435326,0.000393822,0.1038842,0.0003345243,0.0002526795,0.00005099421,0.4118545,0.09972607,0.0008996482,0.3656395,0.0001088294,0.01241989],"study_design_scores_gemma":[0.007409862,0.001547291,0.5482352,0.003081253,0.0003845991,0.00001886076,0.2924858,0.0004471062,0.002187785,0.005430599,0.1376089,0.001162811],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842108,0.0003006782,0.004810857,0.007523677,0.00002500753,0.0003144704,0.00003247287,0.00007205849,0.00270995],"genre_scores_gemma":[0.9858664,0.001000194,0.01269998,0.00007565598,0.0000561935,0.00002511958,0.00008602337,0.00001098958,0.0001794589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4443509,"threshold_uncertainty_score":0.9969401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09370824430663553,"score_gpt":0.4141196436003369,"score_spread":0.3204113992937014,"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."}}