{"id":"W625169584","doi":"","title":"DELIVERING COMMUTER TRAIN: WHERE SMART TRANSPORT AND ENERGY PLANNING MEET","year":2011,"lang":"en","type":"article","venue":"CONGRESS - DUBAI 2011","topic":"Railway Systems and Energy Efficiency","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transport engineering; Computer science; Energy (signal processing); Engineering; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001321954,0.0005157802,0.0003167336,0.0004600462,0.002624304,0.007761898,0.001150273,0.002339171,0.0236169],"category_scores_gemma":[0.00186821,0.0002994259,0.0003070658,0.001082527,0.001809712,0.007641805,0.002049989,0.00232569,0.001940532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007916072,"about_ca_system_score_gemma":0.02302785,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5466427,"about_ca_topic_score_gemma":0.7806082,"domain_scores_codex":[0.9992856,0.0001342613,0.00001344109,0.00006397732,0.0001678225,0.0003348342],"domain_scores_gemma":[0.998887,0.0001905063,0.00006893104,0.00005291819,0.0004370158,0.0003636176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002333133,0.0002965308,0.02035781,0.0006274753,0.00007900305,0.00070044,0.005151864,0.01463881,0.005736024,0.2167072,0.3570848,0.3783865],"study_design_scores_gemma":[0.00003385756,0.0001450995,0.03353198,0.0007387077,0.00007047295,0.0002538988,0.04108574,0.01854355,0.004180995,0.08603664,0.8151994,0.0001797341],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1402538,0.03161572,0.08400086,0.4288101,0.001909578,0.0002732177,0.002696675,0.001882734,0.3085572],"genre_scores_gemma":[0.8700227,0.01480955,0.0316237,0.007134531,0.0003896765,0.00009315331,0.0007509456,0.0002218919,0.07495388],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5466427,"threshold_uncertainty_score":0.9120544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02124281131158277,"score_gpt":0.1881039681645759,"score_spread":0.1668611568529931,"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."}}