{"id":"W1894418030","doi":"10.1002/atr.1235","title":"Multi‐objective airport gate assignment problem in planning and operations","year":2013,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Maximization; Towing; Mathematical optimization; Computer science; Robustness (evolution); Assignment problem; Minification; Operations research; Function (biology); Engineering; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001899886,0.00008503038,0.0001446607,0.0001368756,0.00002965656,0.0000208714,0.00003659171,0.00003923285,0.00001237206],"category_scores_gemma":[0.00001528236,0.00008267741,0.0000238705,0.0001359261,0.0000112314,0.0006372572,8.0754e-7,0.0001679396,8.969407e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000600718,"about_ca_system_score_gemma":0.00001745143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006177052,"about_ca_topic_score_gemma":0.0000173917,"domain_scores_codex":[0.9992522,0.00002377549,0.0004336432,0.00007111036,0.0001143368,0.0001049139],"domain_scores_gemma":[0.9996824,0.00003160552,0.00008276745,0.00004056513,0.0001101594,0.00005248304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.000006298964,0.00001627465,0.008349776,0.00002068163,0.00001348213,0.000006981971,0.002915186,0.967757,0.01666199,0.00001453515,0.000003510211,0.004234325],"study_design_scores_gemma":[0.001372492,0.00007347926,0.8134187,0.000184339,0.0000193159,0.00001149554,0.001251648,0.1801607,0.003167603,0.0001588081,0.0000343764,0.0001469509],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6331966,0.0001497946,0.3662945,0.00004132457,0.00008464168,0.0001677834,0.000001488241,0.00002286877,0.00004093521],"genre_scores_gemma":[0.6223571,0.00004400532,0.377543,0.000008811367,0.00001349089,0.00001036734,0.000003673289,0.00001119111,0.000008357403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.805069,"threshold_uncertainty_score":0.3371487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01220705573794556,"score_gpt":0.2708325016053507,"score_spread":0.2586254458674051,"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."}}