{"id":"W2160029619","doi":"10.5555/1161734.1162067","title":"Air cargo operations evaluation and analysis through simulation","year":2004,"lang":"en","type":"article","venue":"Winter Simulation Conference","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Air Canada; Carleton University","funders":"","keywords":"Computer science; Work (physics); Air cargo; Control (management); Set (abstract data type); Systems engineering; Operations research; Risk analysis (engineering); Process management; Transport engineering; Engineering; Business","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":[0.002054484,0.0006651693,0.0007066305,0.001100326,0.0005025264,0.001915543,0.000672646,0.0007361647,0.002737218],"category_scores_gemma":[0.004866369,0.0003345745,0.0004895385,0.0009423062,0.0005479826,0.001449459,0.0006604008,0.0006035842,0.0002428248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002687455,"about_ca_system_score_gemma":0.00228923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03615766,"about_ca_topic_score_gemma":0.01683043,"domain_scores_codex":[0.9986122,0.0007418482,0.00006003514,0.00007949512,0.0003843651,0.0001220267],"domain_scores_gemma":[0.9971725,0.001892218,0.0001491782,0.0002063493,0.0005061809,0.0000735785],"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":[0.00006726835,0.00004807668,0.001350572,0.00001977795,0.000009836337,0.00001972275,0.00003702348,0.9893658,0.0004345631,0.00276531,0.0002409802,0.005641086],"study_design_scores_gemma":[0.00001166712,0.00003097389,0.0002685158,0.000005386456,0.000004052145,0.000003727131,0.00003265623,0.9979655,0.0006061665,0.0006186021,0.0004480408,0.000004834271],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6283095,0.0003343812,0.3300972,0.0005911234,0.00006395772,0.000736303,0.001013665,0.001398285,0.03745552],"genre_scores_gemma":[0.9535508,0.0002240294,0.04367995,0.00002329236,0.000007837266,0.0002413609,0.0004613535,0.00005372041,0.00175775],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03615766,"threshold_uncertainty_score":0.07189441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.231871749971678,"score_gpt":0.4894507241277072,"score_spread":0.2575789741560292,"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."}}