{"id":"W2786952428","doi":"10.22215/etd/2017-11821","title":"Determining Airspeed Without a Pitot-Static System for Use in a General Aviation Flight Data Recorder Using an Ardu-Pilot","year":2017,"lang":"en","type":"dissertation","venue":"","topic":"Aerospace and Aviation Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Airspeed; Pitot tube; Aeronautics; Radiosonde; Turbulence; Aviation; Clear-air turbulence; Engineering; Stall (fluid mechanics); Simulation; Computer science; Aerospace engineering; Meteorology; Mathematics; Geography","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002154118,0.0003556575,0.0005253338,0.0003625668,0.000145871,0.0002170029,0.0005400398,0.0003966767,0.00001137769],"category_scores_gemma":[0.0001123003,0.0003758904,0.00004422775,0.000106848,0.00001384884,0.0009980148,0.00002990928,0.0002534518,0.000009106337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000216774,"about_ca_system_score_gemma":0.00008262756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000307685,"about_ca_topic_score_gemma":0.009126444,"domain_scores_codex":[0.9984155,0.0000298301,0.0005184765,0.0005252833,0.0001600165,0.0003508957],"domain_scores_gemma":[0.9983774,0.00004521997,0.0003047616,0.001113092,0.0001016963,0.00005781556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002181416,0.001532803,0.126457,0.03416022,0.003070628,0.0003693139,0.01669363,0.09073289,0.3939455,0.0116622,0.01387974,0.3053147],"study_design_scores_gemma":[0.001089716,0.0001179595,0.002356216,0.0006548684,0.0001405304,0.000008986162,0.001148891,0.9887013,0.004576468,0.00009264601,0.0004433587,0.0006690224],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9429795,0.00006385097,0.05254598,0.00001182029,0.001576224,0.001122061,0.0001517439,0.000799641,0.0007492402],"genre_scores_gemma":[0.9451212,0.0000233862,0.04519531,0.00001463007,0.0002494299,0.0001461487,0.005816638,0.0001872429,0.003246056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8979685,"threshold_uncertainty_score":0.9998693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09861787777825583,"score_gpt":0.3303812231668692,"score_spread":0.2317633453886134,"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."}}