{"id":"W2727324042","doi":"","title":"Deadlock Avoidance and Detection in Railway Simulation Systems","year":2013,"lang":"en","type":"article","venue":"Les Cahiers du GERAD","topic":"Railway Systems and Energy Efficiency","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Deadlock prevention algorithms; Computer science; Reservation; Scheduling (production processes); Train; Distributed computing; Deadlock; Real-time computing; Algorithm; Mathematical optimization; Computer network; Mathematics; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003184958,0.0006795666,0.0007934017,0.001088322,0.000683789,0.001282054,0.001033828,0.0006672849,0.001141743],"category_scores_gemma":[0.009227173,0.0007313692,0.0008803122,0.0007423756,0.001708184,0.001216266,0.001683689,0.0008663978,0.0001571957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001159005,"about_ca_system_score_gemma":0.001531711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006227203,"about_ca_topic_score_gemma":0.003310381,"domain_scores_codex":[0.9974046,0.001405113,0.0001997723,0.0002983919,0.0005075182,0.0001846682],"domain_scores_gemma":[0.9940368,0.004361154,0.0005551343,0.0004561236,0.0004509816,0.0001396939],"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":[0.0001189426,0.00003761018,0.002270293,0.00006629187,0.00004226755,0.00006528347,0.0001642271,0.9496191,0.003571487,0.02279443,0.0001978279,0.0210523],"study_design_scores_gemma":[0.000009908109,0.00001921596,0.00009079104,0.000005498539,0.000006559486,0.00001285991,0.00001106865,0.9920351,0.001260981,0.006173213,0.0003689887,0.00000576805],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0715118,0.0002762575,0.9245741,0.0001346713,0.00001897022,0.00007240348,0.0000468638,0.001171131,0.002193877],"genre_scores_gemma":[0.7867438,0.0002118955,0.2113131,0.00004699792,0.00001131043,0.00014677,0.0001370579,0.0000983256,0.001290755],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006227203,"threshold_uncertainty_score":0.01684386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003984293277856587,"score_gpt":0.1665356641214028,"score_spread":0.1625513708435462,"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."}}