{"id":"W4300028526","doi":"","title":"LOG YARD DESIGN USING DISCRETE-EVENT SIMULATION: FIRST STEP TOWARDS A FORMALIZED APPROACH","year":2014,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Yard; Discrete event simulation; Computer science; Event (particle physics); Simulation","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00489116,0.0009435298,0.001300664,0.0008802786,0.000687741,0.004763062,0.001917425,0.001323552,0.00479559],"category_scores_gemma":[0.01063612,0.0009317433,0.002184744,0.0008188425,0.002576752,0.004035294,0.0022921,0.003319619,0.0008527259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001481188,"about_ca_system_score_gemma":0.003654669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001844032,"about_ca_topic_score_gemma":0.002703019,"domain_scores_codex":[0.9955384,0.002371202,0.0003622491,0.0003500857,0.0011825,0.0001955248],"domain_scores_gemma":[0.990899,0.005740964,0.0004827043,0.001624417,0.001023885,0.000229044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001278293,0.0002037058,0.0006714566,0.0003703163,0.00009474941,0.0001697708,0.0002980129,0.2544853,0.003846617,0.6983287,0.001034796,0.04036868],"study_design_scores_gemma":[0.00007203356,0.0001643737,0.0001401838,0.0001347026,0.00006078185,0.00008523065,0.00009553531,0.7371037,0.003720332,0.2482385,0.01014734,0.00003723502],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00136876,0.00005213448,0.9973987,0.0001299764,0.00001562628,0.00004041223,0.00001940487,0.00009431857,0.0008806781],"genre_scores_gemma":[0.1710295,0.0005728432,0.8244143,0.0001785957,0.00006410289,0.0004232058,0.0001420682,0.0001202971,0.003055075],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00489116,"threshold_uncertainty_score":0.02586722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09304887812268148,"score_gpt":0.346644533473415,"score_spread":0.2535956553507335,"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."}}