{"id":"W4376605477","doi":"10.1109/icns58246.2023.10124259","title":"Front Matter","year":2023,"lang":"en","type":"paratext","venue":"","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"Federal Aviation Administration; U.S. Department of Defense","keywords":"Computer science","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005982949,0.00135231,0.0009627398,0.001669336,0.002119367,0.008488675,0.001666936,0.005963383,0.9085424],"category_scores_gemma":[0.002647627,0.0003947222,0.0007411989,0.001093851,0.001163826,0.003283737,0.002923619,0.002391453,0.8904734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001334762,"about_ca_system_score_gemma":0.001896284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001784771,"about_ca_topic_score_gemma":0.002664046,"domain_scores_codex":[0.9991436,0.00005431404,0.00004081702,0.0002575561,0.0003599759,0.0001437399],"domain_scores_gemma":[0.998478,0.0001851969,0.00009735424,0.0001909058,0.0005194328,0.0005291567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007223646,0.00006940436,0.0004439135,0.0003858951,0.00001181651,0.0002600997,0.00008831743,0.0001033196,0.001421794,0.007854011,0.7943414,0.1949478],"study_design_scores_gemma":[0.000006480015,0.0000106499,0.0001941361,0.00009127081,0.000001829401,0.000120944,0.00004751569,0.0000420071,0.0001584718,0.0007080516,0.9986154,0.000003203743],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006500977,0.002582885,0.0009239663,0.006101712,0.004919525,0.00006965931,0.001731784,0.001466097,0.9815543],"genre_scores_gemma":[0.002185269,0.001818149,0.000357068,0.002727433,0.0006651815,0.00002885323,0.001189169,0.0002994926,0.9907294],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09145761,"threshold_uncertainty_score":0.1304531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008235512081296428,"score_gpt":0.1995353336235823,"score_spread":0.1912998215422858,"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."}}