{"id":"W2051767752","doi":"10.1016/j.ejor.2004.04.051","title":"Periodic airline fleet assignment with time windows, spacing constraints, and time dependent revenues","year":2005,"lang":"en","type":"article","venue":"European Journal of Operational Research","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":75,"is_retracted":false,"has_abstract":false,"ca_institutions":"HEC Montréal; Polytechnique Montréal; Group for Research in Decision Analysis","funders":"","keywords":"Schedule; Computer science; Flow network; Operations research; Assignment problem; Mathematical optimization; Integer (computer science); Revenue; Integer programming; Branch and bound; Mathematics; Economics; Algorithm; Finance","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005359209,0.0001175241,0.0001726416,0.0002063535,0.0001851244,0.0002004676,0.0001691514,0.00002147741,0.0006703857],"category_scores_gemma":[0.0002700751,0.00009790162,0.00002743987,0.0001517287,0.0001585677,0.0002753042,0.00005130716,0.0005054681,0.0001944935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001362092,"about_ca_system_score_gemma":0.0001272374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.724321e-7,"about_ca_topic_score_gemma":3.692526e-7,"domain_scores_codex":[0.9975825,0.0008526367,0.0003907938,0.0001302466,0.0007992437,0.0002446079],"domain_scores_gemma":[0.9990953,0.0002035006,0.00006052921,0.000114192,0.0003458753,0.000180669],"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":[0.00008438884,0.00005437743,0.0005507006,0.00002447607,0.0001176727,0.0002393742,0.0008354007,0.9220105,0.04203527,0.0001606093,0.003722121,0.0301651],"study_design_scores_gemma":[0.007611559,0.002251056,0.01637287,0.001371909,0.00008918939,0.004945819,0.0005496361,0.8938156,0.02265769,0.00005811552,0.04913928,0.001137299],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6910428,0.00257763,0.2433868,0.007254107,0.000175075,0.0007277305,0.00006226692,0.0001490215,0.05462464],"genre_scores_gemma":[0.9035721,0.00009548565,0.09433293,0.0000529528,0.0005178607,0.000001234372,0.000006981503,0.00004938,0.001371088],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2125293,"threshold_uncertainty_score":0.7340254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03351273727517879,"score_gpt":0.3092219762336378,"score_spread":0.275709238958459,"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."}}