{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001236643,0.0001864884,0.0001292632,0.0001898468,0.0001055979,0.00007408427,0.0002191892,0.00007198723,0.0000539522],"category_scores_gemma":[0.00002672601,0.000190064,0.00005093201,0.0001130385,0.00003332306,0.0004736235,0.00005090513,0.0001152155,0.000009142787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001971018,"about_ca_system_score_gemma":0.00003060837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002638742,"about_ca_topic_score_gemma":0.00004886376,"domain_scores_codex":[0.9990036,0.000004890452,0.0003022396,0.000228123,0.0002584389,0.0002026473],"domain_scores_gemma":[0.9995385,0.00001447484,0.0000756306,0.0001914132,0.00008156335,0.00009843924],"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":[0.000005204066,0.00003586685,0.007087681,0.000007787396,0.00004622452,0.000008912948,0.0005502186,0.9856009,0.00007645391,0.003010225,0.0001760608,0.003394473],"study_design_scores_gemma":[0.0003289726,0.00003137601,0.001137616,0.00005078226,0.00001549885,0.00002025987,0.0002332993,0.9953074,0.0001814293,0.001573879,0.0009110036,0.0002084615],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6958012,0.000007381569,0.2993672,0.0001809942,0.0007569703,0.0002079532,0.00002693317,0.0004089393,0.003242458],"genre_scores_gemma":[0.9730612,0.000003389297,0.02618302,0.0001832004,0.0002688506,0.000009121904,0.0001769284,0.00004269808,0.00007156794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.27726,"threshold_uncertainty_score":0.7750585,"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."}}