{"id":"W4206856232","doi":"","title":"3D Simulation of aircraft emissions dispersion in the CAEPport area by tracking aircraft as mobile sources","year":2019,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Aerospace engineering; Aeronautics; Environmental science; Dispersion (optics); Tracking (education); Computer science; Automotive engineering; Engineering; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000253532,0.0007656749,0.000906507,0.000805849,0.0008481797,0.001673831,0.0009237921,0.003425592,0.003878643],"category_scores_gemma":[0.001087975,0.0007355146,0.001134879,0.001091766,0.000968469,0.0006614339,0.0008521845,0.001094343,0.000293468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001000803,"about_ca_system_score_gemma":0.001210374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1048033,"about_ca_topic_score_gemma":0.04504263,"domain_scores_codex":[0.9998211,0.0000369332,0.000009092449,0.00003523999,0.00004271394,0.00005497733],"domain_scores_gemma":[0.9993344,0.0003825945,0.00005264654,0.00003694974,0.00009051535,0.0001028843],"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":[0.00004251562,0.00003911769,0.001136521,0.00001073442,0.0000132964,0.00007936913,0.00002029635,0.9975783,0.0003047019,0.000202422,0.0001010158,0.000471627],"study_design_scores_gemma":[0.00001458437,0.00001304112,0.0006212958,0.000003251053,0.000004326846,0.000008000797,0.00002274273,0.9990127,0.0001272317,0.00007517404,0.00009168031,0.000005872071],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9717705,0.0002114242,0.01093173,0.0004599378,0.0001142428,0.00005250278,0.001569985,0.0002965512,0.01459298],"genre_scores_gemma":[0.9935992,0.0001082008,0.003113476,0.00005453338,0.00001895724,0.00003803161,0.0004914892,0.00004217354,0.002534061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1048033,"threshold_uncertainty_score":0.2083867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01028506875573835,"score_gpt":0.2200570389135132,"score_spread":0.2097719701577749,"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."}}