{"id":"W4404678338","doi":"10.1155/atr/7987154","title":"Analysis and Prediction of Airfield Area Conflict Risk Under Dynamic Time‐Varying Network","year":2024,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Evaluation Methods in Various Fields","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Tianjin Science and Technology Program; Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Computer science; Operations research; Transport engineering; Engineering","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":[0.001183266,0.0007638154,0.0004390598,0.0008886301,0.0003236632,0.0006270237,0.0006116711,0.0006546975,0.0005300074],"category_scores_gemma":[0.003410944,0.0002225791,0.0004266693,0.000668521,0.0003005338,0.001221814,0.0005267567,0.0007630789,0.00007421426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009416209,"about_ca_system_score_gemma":0.0004848463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01784781,"about_ca_topic_score_gemma":0.008165887,"domain_scores_codex":[0.9996427,0.0001118233,0.00001993925,0.0001010184,0.00006350213,0.00006102969],"domain_scores_gemma":[0.9986755,0.0008658185,0.0001831959,0.000053886,0.0001707523,0.00005077651],"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":[0.0000740546,0.00004991774,0.01100073,0.00002329478,0.00002518661,0.00008900318,0.00004949938,0.9715849,0.0006454915,0.000683533,0.0002027403,0.01557152],"study_design_scores_gemma":[6.564907e-7,0.000006098911,0.0007193618,9.19857e-7,0.000002395921,0.000003690899,0.000007977818,0.99901,0.0000990966,0.0001343501,0.00001412965,0.000001375778],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8825609,0.0003888609,0.1149755,0.0003030736,0.00004296936,0.00003507271,0.0002046879,0.0001641158,0.001324918],"genre_scores_gemma":[0.9947447,0.0001049384,0.004697958,0.00001085145,0.000007370909,0.00001654016,0.0001210299,0.000004448583,0.0002922797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01784781,"threshold_uncertainty_score":0.03548783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01420628401901646,"score_gpt":0.295646507129801,"score_spread":0.2814402231107845,"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."}}