{"id":"W2601972902","doi":"","title":"A Theoretical Comparison of Feasibility Cuts for the Integrated Aircraft Routing and Crew Pairing Problem","year":2006,"lang":"en","type":"article","venue":"","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Group for Research in Decision Analysis","funders":"","keywords":"Crew; Routing (electronic design automation); Pairing; Set (abstract data type); Decomposition; Computer science; Mathematical optimization; Benders' decomposition; Operations research; Engineering; Aeronautics; Mathematics; Computer network","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":[0.006960506,0.001600651,0.001477629,0.002973924,0.001747313,0.005817386,0.003870703,0.002692577,0.02650538],"category_scores_gemma":[0.02985996,0.001156291,0.001999991,0.004053054,0.002763434,0.006642887,0.003276344,0.004670641,0.001750011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004590862,"about_ca_system_score_gemma":0.004777994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003051052,"about_ca_topic_score_gemma":0.003475133,"domain_scores_codex":[0.9955255,0.002020576,0.0001120867,0.0005133724,0.001194862,0.0006335906],"domain_scores_gemma":[0.9780442,0.01778586,0.0008473872,0.001116318,0.001297755,0.000908378],"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":[0.0005471921,0.0003920599,0.0008560438,0.0003703733,0.00008642293,0.00008720989,0.0001964327,0.2951124,0.0006899459,0.6290162,0.01286128,0.05978438],"study_design_scores_gemma":[0.0001036846,0.0002979983,0.0006418435,0.0001623096,0.00007393181,0.0001411762,0.0001779446,0.6434583,0.0005743367,0.3460638,0.008275569,0.00002907715],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04936383,0.00217368,0.8230172,0.002634896,0.0004069557,0.0004261513,0.0006525121,0.0003817836,0.120943],"genre_scores_gemma":[0.552643,0.004026194,0.4133709,0.0009633288,0.0008233323,0.00104782,0.002372924,0.0007235415,0.02402891],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02650538,"threshold_uncertainty_score":0.08866936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02384354758833118,"score_gpt":0.2987509713363801,"score_spread":0.2749074237480489,"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."}}