{"id":"W2736372245","doi":"","title":"Modelling expected train passenger delays on large scale railway networks","year":2006,"lang":"en","type":"article","venue":"Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU)","topic":"Railway Systems and Energy Efficiency","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Transport Canada","funders":"","keywords":"Scale (ratio); Computer science; Transport engineering; Engineering; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007036415,0.000666479,0.00122879,0.0006256711,0.00045764,0.00002819901,0.001607183,0.001192288,0.0008413161],"category_scores_gemma":[0.00003664659,0.0008339031,0.0007772602,0.001435704,0.0006746738,0.000388391,0.0004219564,0.001169493,0.0001156354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005299152,"about_ca_system_score_gemma":0.00009442136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008101513,"about_ca_topic_score_gemma":0.001403846,"domain_scores_codex":[0.9961252,0.0001998793,0.00072668,0.0009403697,0.0008873789,0.001120512],"domain_scores_gemma":[0.9974111,0.0004269769,0.0003459857,0.001121139,0.0002887238,0.0004061208],"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":[0.0007711642,0.001455249,0.0006534951,0.0002382448,0.0002366562,0.0005228238,0.0002775748,0.9417794,0.01496138,0.009651777,0.02808167,0.001370593],"study_design_scores_gemma":[0.0094832,0.001332559,0.0112615,0.001422565,0.0007632453,0.0001834519,0.003446576,0.882251,0.002111269,0.0008825438,0.08292989,0.003932194],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3687366,0.0006244102,0.5478859,0.0002136172,0.0002896912,0.0007454308,0.0001477999,0.001110946,0.08024556],"genre_scores_gemma":[0.987207,0.0003757896,0.009795002,0.00001989217,0.0001032223,5.768946e-7,0.00005317079,0.00008227452,0.002363093],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6184704,"threshold_uncertainty_score":0.9994112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007184434365010746,"score_gpt":0.1659400593967509,"score_spread":0.1587556250317402,"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."}}