{"id":"W2897134448","doi":"10.1155/2018/5042961","title":"A Causal Model for Safety Assessment Purposes in Opening the Low-Altitude Urban Airspace of Chinese Pilot Cities","year":2018,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Grid; Computer science; Air traffic control; Scheduling (production processes); Flight safety; Separation (statistics); Software; Conflict resolution; Perspective (graphical); Real-time computing; Operations research; Simulation; Mathematical optimization; Artificial intelligence; Engineering; Geography; Aerospace engineering; Aeronautics; Machine learning; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.001237873,0.0005303209,0.0004897509,0.0009482205,0.0005773517,0.001155246,0.001101598,0.0007265253,0.002585149],"category_scores_gemma":[0.002913508,0.0003169674,0.0007427499,0.0008005816,0.0007834111,0.001180103,0.0009439695,0.0007595837,0.0001130626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001448598,"about_ca_system_score_gemma":0.001614318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02936565,"about_ca_topic_score_gemma":0.01481491,"domain_scores_codex":[0.9994009,0.0002261391,0.00003197178,0.0001382887,0.00009129513,0.0001115646],"domain_scores_gemma":[0.9982367,0.001056658,0.0003378211,0.00006763004,0.000216073,0.00008511442],"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":[0.00004374215,0.00002554941,0.002877461,0.00002517486,0.00002154852,0.0001102844,0.00005925677,0.9738063,0.0004212151,0.01900559,0.0001826298,0.003421202],"study_design_scores_gemma":[0.000005487301,0.000008588409,0.0002952891,0.000001632867,0.00001093613,0.000006631857,0.00001680649,0.9969389,0.00007199153,0.002554098,0.0000866238,0.000002951768],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2053581,0.0001703726,0.7891483,0.0004686581,0.00002994155,0.0001217494,0.0003667845,0.0002285659,0.004107535],"genre_scores_gemma":[0.9789907,0.0001359978,0.01946907,0.00002019073,0.0000134741,0.00008906757,0.0001464473,0.000009991637,0.001125162],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02936565,"threshold_uncertainty_score":0.05838948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009246934709734101,"score_gpt":0.2584940457904156,"score_spread":0.2492471110806815,"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."}}