{"id":"W567864433","doi":"","title":"MODEL, THEN BUILD: USING AN AIRPORT SIMULATOR LETS PLANNERS TEST THEIR IDEAS BEFORE COMMITTING TO CONSTRUCTION","year":2004,"lang":"en","type":"article","venue":"Airports international","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Engineering; Transport engineering; Terminal (telecommunication); Test (biology); Aeronautics; Flow (mathematics); Simulation; Telecommunications","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004406472,0.0008334141,0.0003935709,0.0002727021,0.0004019887,0.001452103,0.0007901163,0.0005912717,0.0101661],"category_scores_gemma":[0.001438835,0.0003840196,0.0005626171,0.000200123,0.0003812443,0.001451308,0.0005715371,0.0009239488,0.001863887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007345896,"about_ca_system_score_gemma":0.002328467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01198052,"about_ca_topic_score_gemma":0.01101835,"domain_scores_codex":[0.9998242,0.00006374663,0.000009268212,0.00002839602,0.00005648322,0.00001786435],"domain_scores_gemma":[0.9996469,0.0001262253,0.00003042352,0.00009258985,0.00007657192,0.00002727768],"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":[0.00006579088,0.00004459703,0.001176615,0.00008419293,0.00003225317,0.00007323652,0.0001017755,0.9449697,0.002227746,0.02053915,0.004190538,0.02649443],"study_design_scores_gemma":[0.00004125376,0.0000705214,0.0002832901,0.00002204027,0.00002828764,0.00002844031,0.00006320255,0.9619858,0.002184205,0.01028741,0.02498694,0.00001852295],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05983457,0.0001387337,0.8757599,0.0009760684,0.0002171975,0.0005414045,0.002294414,0.006781315,0.05345642],"genre_scores_gemma":[0.5216417,0.0005638353,0.4533335,0.0002414907,0.00003854882,0.001005449,0.00323452,0.001097253,0.0188438],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01198052,"threshold_uncertainty_score":0.03400904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01402784806705678,"score_gpt":0.235812664231356,"score_spread":0.2217848161642992,"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."}}