{"id":"W600325010","doi":"10.2514/atcq.8.1.63","title":"Complex Terminal Airspace Analysis Methodology for Evaluating FMS or RNAV Procedures","year":2000,"lang":"en","type":"article","venue":"Air Traffic Control Quarterly","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of British Columbia; Bureau of Safety and Environmental Enforcement; University of Washington","keywords":"Workload; Air traffic control; Area navigation; Aeronautics; Engineering; Air traffic controller; Controller (irrigation); National Airspace System; Operations research; Transport engineering; Simulation; Computer science; Aerospace engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.004921831,0.001303977,0.0007335345,0.005921176,0.0006043853,0.001667917,0.0007794924,0.0006399317,0.006688563],"category_scores_gemma":[0.01322165,0.0002771214,0.001105153,0.002166025,0.0007382597,0.001564699,0.0008278203,0.0006604528,0.0003878422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001652341,"about_ca_system_score_gemma":0.00181201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003559207,"about_ca_topic_score_gemma":0.0038836,"domain_scores_codex":[0.9957029,0.001805367,0.0002531723,0.0002924468,0.001767401,0.0001786611],"domain_scores_gemma":[0.9874743,0.007818644,0.00139421,0.000610341,0.002541686,0.0001607099],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004956769,0.000623757,0.02416035,0.0008239719,0.0002586269,0.0001671113,0.0005284466,0.4731536,0.02077832,0.05049633,0.002761084,0.4257527],"study_design_scores_gemma":[0.00005806121,0.001466308,0.008013089,0.00008708859,0.00006882202,0.0001325723,0.0004345657,0.9648263,0.009180094,0.01034045,0.005330787,0.00006190488],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08353058,0.0002433846,0.9042677,0.00006035623,0.00003054956,0.000931804,0.0004439038,0.0003723041,0.01011934],"genre_scores_gemma":[0.4249969,0.0001668499,0.571466,0.00004174781,0.00002677896,0.001231684,0.0005115823,0.00006999155,0.001488508],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006688563,"threshold_uncertainty_score":0.02602941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04066469172344058,"score_gpt":0.3067709979539323,"score_spread":0.2661063062304917,"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."}}