{"id":"W4413333888","doi":"10.1155/atr/6302741","title":"An Extended Space‐Time Network With Explicit Incompatibility Modelling for High‐Speed Railway Timetabling","year":2025,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Railway Systems and Energy Efficiency","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"China Academy of Railway Sciences; National Natural Science Foundation of China; China Railway","keywords":"Computer science; Space (punctuation); Transport engineering; Spacetime; Simulation; Engineering; Physics; Operating system","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":[0.0008683272,0.0007753146,0.0005141949,0.0005455834,0.0004347486,0.001095195,0.001369736,0.0008046114,0.004346478],"category_scores_gemma":[0.001721611,0.0004256313,0.001028262,0.001069408,0.0007123543,0.001964622,0.0009922874,0.00127845,0.0003526364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001310724,"about_ca_system_score_gemma":0.001581614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009756736,"about_ca_topic_score_gemma":0.008965744,"domain_scores_codex":[0.9994158,0.0002344557,0.00002431697,0.0001083718,0.0001388895,0.00007819227],"domain_scores_gemma":[0.9993702,0.0003580513,0.0001014312,0.00005224509,0.00007381249,0.00004430213],"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":[0.00001078388,0.00001009187,0.0001169537,0.0000165858,0.000004976495,0.00002539069,0.00001847586,0.9804642,0.0003148881,0.01600213,0.0001348322,0.002880819],"study_design_scores_gemma":[0.000002981561,0.00001162286,0.00004257431,0.000002795357,0.000003489211,0.000008053763,0.000006350554,0.9937987,0.0001253928,0.005230821,0.0007647745,0.000002569409],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02740886,0.0001898433,0.9641291,0.0001578003,0.00003565407,0.00006613766,0.0001867765,0.000130785,0.007695061],"genre_scores_gemma":[0.7148542,0.0006094035,0.2757531,0.00007682382,0.00004036981,0.0003161532,0.0004231634,0.0001236778,0.00780298],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009756736,"threshold_uncertainty_score":0.01939988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006363286320643068,"score_gpt":0.2202190308734623,"score_spread":0.2138557445528192,"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."}}