{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003671676,0.0001711521,0.0003854516,0.0001478696,0.00008892365,0.00002883073,0.0001287553,0.00006870982,0.000008547612],"category_scores_gemma":[0.000005614467,0.0001447713,0.00009138048,0.0003520831,0.00001335937,0.00055633,6.544016e-7,0.0001505854,5.859692e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006175199,"about_ca_system_score_gemma":0.00004392852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001278652,"about_ca_topic_score_gemma":0.00003494872,"domain_scores_codex":[0.9987555,0.00001949721,0.0006386278,0.0001578077,0.0001968514,0.0002317489],"domain_scores_gemma":[0.9992159,0.00007403786,0.0002053829,0.0001752965,0.0002512819,0.00007808438],"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":[0.0002462339,0.00004483015,0.0001240496,0.00008689972,0.00006449204,0.000003538634,0.0003107528,0.981346,0.01333199,0.001360198,0.0000204077,0.003060577],"study_design_scores_gemma":[0.003209479,0.0005612058,0.01783377,0.0005944596,0.0001947187,0.000006096868,0.0004336415,0.9640759,0.00797878,0.003796606,0.0009091181,0.0004062902],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5065603,0.0002240068,0.492689,0.0000158913,0.0002671949,0.0001297661,0.000004958212,0.00004620429,0.00006264284],"genre_scores_gemma":[0.9180218,0.00003444116,0.08166334,0.00001043665,0.0001604315,0.000007055635,0.00002769941,0.00002710574,0.00004767461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4114615,"threshold_uncertainty_score":0.5903603,"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."}}