{"id":"W7046813830","doi":"","title":"Effective, Comfortable, and Sustainable Railway Systems:&#13;\\nDecision Models for Optimal Asset Management and Scenarios&#13;\\nAnalysis","year":2019,"lang":"en","type":"dissertation","venue":"Spectrum Research Repository (Concordia University)","topic":"Astronomy and Astrophysical Research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fonds de recherche du Québec – Nature et technologies","keywords":"Metropolitan area; Fixed asset; Asset (computer security); Asset management; Transit system; Strategic planning; Investment (military); Plan (archaeology); Key (lock)","routes":{"ca_aff":false,"ca_fund":true,"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":[0.001634329,0.001115993,0.00111184,0.000995551,0.0008010612,0.003353117,0.002106118,0.002866337,0.008451859],"category_scores_gemma":[0.004106416,0.0008752626,0.001174002,0.00111724,0.001356817,0.002702077,0.002211988,0.002127462,0.0007245036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00380638,"about_ca_system_score_gemma":0.002861641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02978757,"about_ca_topic_score_gemma":0.01765544,"domain_scores_codex":[0.9993339,0.0002922026,0.00002690358,0.0001081062,0.00009834737,0.0001404652],"domain_scores_gemma":[0.99818,0.00117603,0.000176353,0.00005249064,0.0002747356,0.0001403394],"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":[0.000009868058,0.0000198498,0.0002711329,0.00002311543,0.00001125518,0.00002532253,0.00002742581,0.9641329,0.0000653695,0.03183927,0.0008986341,0.002675859],"study_design_scores_gemma":[0.000004224502,0.00000752872,0.00006956288,0.00001353648,0.000004013736,0.000005638622,0.00003237922,0.9865829,0.00003215446,0.01199806,0.001244135,0.000005797478],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06487239,0.002736982,0.8485693,0.004851602,0.0003580478,0.0002171684,0.001168494,0.0003001615,0.07692585],"genre_scores_gemma":[0.8747763,0.003365613,0.08452675,0.0004228372,0.0002079017,0.0004994652,0.0008850071,0.0001909142,0.03512521],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02978757,"threshold_uncertainty_score":0.05922836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0120191645791666,"score_gpt":0.2678305965874118,"score_spread":0.2558114320082452,"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."}}