{"id":"W4414061897","doi":"10.1016/j.tra.2025.104660","title":"The impact of low-altitude airspace opening policy on aviation manufacturing innovation: A double machine learning approach","year":2025,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"National Natural Science Foundation of China","keywords":"Aviation; China; Drone; Aviation engineering; Policy learning; Manufacturing; Policy analysis; Flexible manufacturing system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001537587,0.0001333488,0.0001291778,0.0006701702,0.000452143,0.0001360645,0.0001321713,0.00006893957,0.00001579499],"category_scores_gemma":[0.0004458686,0.0001079159,0.00003745208,0.001552904,0.00006948888,0.0004855166,0.00001091681,0.0004349857,0.000004080903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001155451,"about_ca_system_score_gemma":0.0001581129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001254198,"about_ca_topic_score_gemma":0.0001050091,"domain_scores_codex":[0.9987109,0.0001710289,0.0003148767,0.0001720495,0.0003335263,0.0002976115],"domain_scores_gemma":[0.998739,0.0007597508,0.00009496135,0.0001623369,0.0002012042,0.00004274318],"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":[0.0005982667,0.00005904943,0.000450879,0.0002365919,0.0001583651,0.000001351714,0.001459981,0.8683431,0.0001499014,0.1208227,0.001165442,0.006554387],"study_design_scores_gemma":[0.005894762,0.0006098573,0.06789488,0.0004308748,0.0001018606,0.00000402396,0.003050298,0.7192609,0.004300183,0.001559159,0.1961733,0.000719924],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.317589,0.0009766272,0.144714,0.02385015,0.0002210935,0.004218394,0.00008023537,0.0008307545,0.5075197],"genre_scores_gemma":[0.9960961,0.001136977,0.0006018199,0.00005440798,0.0001065625,0.00006725027,0.0001543379,0.00001767133,0.001764847],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6785071,"threshold_uncertainty_score":0.4400681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04739714769533813,"score_gpt":0.39461977613368,"score_spread":0.3472226284383419,"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."}}