{"id":"W2596850612","doi":"","title":"Aircraft Routing Under Different Business Processes","year":2009,"lang":"en","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Group for Research in Decision Analysis","funders":"","keywords":"Adaptability; Robustness (evolution); Computer science; Routing (electronic design automation); Operations research; Set (abstract data type); Engineering; Mathematical optimization; Mathematics; Computer network; Economics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004054159,0.0004466795,0.0004197885,0.0003436814,0.0002134356,0.0002230313,0.0004424725,0.0002887619,0.00003615627],"category_scores_gemma":[0.000366126,0.0004495105,0.00009324662,0.001223689,0.00004067076,0.0003673458,0.0000688088,0.0004268906,0.00001404891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004368971,"about_ca_system_score_gemma":0.0001122385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00022118,"about_ca_topic_score_gemma":0.0002093087,"domain_scores_codex":[0.9978377,0.00009159264,0.0005306636,0.0003866946,0.0003429591,0.0008104327],"domain_scores_gemma":[0.9986492,0.000140792,0.0001115601,0.0006176517,0.0002281318,0.0002526104],"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":[0.00002148225,0.0001531849,0.009569658,0.0001349648,0.0000455512,0.00002023384,0.0002430441,0.9433074,0.01247164,0.005226179,0.0008534766,0.02795318],"study_design_scores_gemma":[0.0005590669,0.00006476809,0.1487325,0.0001719582,0.00004937801,0.00008629311,0.00008923917,0.8187154,0.0277757,0.002441153,0.0004728071,0.000841785],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1407918,0.0007438253,0.8519226,0.001798931,0.000144082,0.000387947,0.000009734957,0.003347337,0.0008536836],"genre_scores_gemma":[0.842132,0.0002202075,0.1559738,0.001032422,0.0001735126,0.00009175333,0.00002144618,0.0001005341,0.0002542946],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7013402,"threshold_uncertainty_score":0.9997957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01190150945357329,"score_gpt":0.2373497645693284,"score_spread":0.2254482551157551,"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."}}