{"id":"W7046615613","doi":"","title":"Developing an airspace structure for green en-route North Atlantic Track System (NATS) using Continuously Increasing Altitude Operations (CIAO)","year":2021,"lang":"en","type":"dissertation","venue":"elib (German Aerospace Center)","topic":"Superconducting and THz Device Technology","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cruise; Flight planning; Civil aviation; Fuel efficiency; Track (disk drive); Air traffic control; Aviation; Flight plan; Aerospace; Altitude (triangle)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002044326,0.000716116,0.0009512385,0.0002188116,0.0006920423,0.0003264951,0.0005123726,0.000435983,0.0000522294],"category_scores_gemma":[0.0000320127,0.000773987,0.0002823658,0.000347443,0.00004692818,0.0004558403,0.00008573526,0.0007544256,0.00001152104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000310371,"about_ca_system_score_gemma":0.0004844686,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.00686938,"about_ca_topic_score_gemma":0.02492098,"domain_scores_codex":[0.9971287,0.0002317624,0.0006311272,0.0009757788,0.0002926489,0.0007400397],"domain_scores_gemma":[0.998286,0.0000892172,0.000350145,0.0006609929,0.0004487365,0.0001649043],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002468361,0.0006655235,0.8449786,0.004374241,0.003153551,0.0001596775,0.0420684,0.0009583143,0.0519581,0.04295031,0.0003940384,0.008092465],"study_design_scores_gemma":[0.01975687,0.0007812739,0.1020535,0.02150791,0.005635492,0.00110357,0.7076964,0.02181373,0.07942732,0.000631296,0.02347391,0.01611875],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994385,0.0001946145,0.001824516,0.0001609734,0.001655311,0.0009085964,0.0004176002,0.00033255,0.0001208342],"genre_scores_gemma":[0.9778994,0.000008259851,0.007790675,0.0000491504,0.001039986,0.00006505984,0.01198375,0.0001927294,0.0009709813],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7429251,"threshold_uncertainty_score":0.9997439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01738602711305609,"score_gpt":0.2957092218484541,"score_spread":0.278323194735398,"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."}}