{"id":"W2012428429","doi":"10.1002/atr.5670380202","title":"A multiobjective planning model for intercity train seat allocation","year":2004,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science Council","keywords":"Operations research; Plan (archaeology); Revenue; Transport engineering; Computer science; Engineering; Economics","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":[0.001218194,0.001079339,0.0009713613,0.0009106832,0.0007396512,0.00193956,0.001739905,0.001947035,0.00789666],"category_scores_gemma":[0.001238185,0.0007780081,0.001031345,0.001384166,0.0008998261,0.001265611,0.0009223273,0.001467587,0.0007029076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003292386,"about_ca_system_score_gemma":0.002233747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0227402,"about_ca_topic_score_gemma":0.01705364,"domain_scores_codex":[0.9992901,0.0003170495,0.00002418877,0.0001253032,0.0001314583,0.0001117862],"domain_scores_gemma":[0.9995079,0.0002547597,0.00007044592,0.00002180361,0.00009409289,0.00005103954],"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":[0.000009997789,0.000009770346,0.00005549883,0.00001101381,0.0000082473,0.00002877037,0.00001331772,0.9926164,0.0001101935,0.005789702,0.000139455,0.001207552],"study_design_scores_gemma":[0.000006666817,0.00001043172,0.00003412376,0.000003511645,0.000003824395,0.000004328262,0.000009100091,0.9972147,0.00004492578,0.00229824,0.0003669658,0.000003122011],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05147133,0.0005747986,0.9194428,0.0008704314,0.0000787322,0.0001920916,0.0007199118,0.0002995369,0.02635045],"genre_scores_gemma":[0.8710098,0.0006254629,0.1025782,0.0001356689,0.00004077457,0.0007060532,0.0004631673,0.00007339982,0.02436754],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0227402,"threshold_uncertainty_score":0.04521567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02783590477290989,"score_gpt":0.3312743014206672,"score_spread":0.3034383966477573,"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."}}