{"id":"W2635648210","doi":"10.4050/f-0072-2016-11406","title":"Bell 525 Airspeed Calibration Prior to First Flight","year":2016,"lang":"en","type":"article","venue":"","topic":"Aerospace and Aviation Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bell Helicopter Textron (Canada)","funders":"","keywords":"Airspeed; Calibration; Computer science; Environmental science; Aeronautics; Aerospace engineering; Engineering; Mathematics; Statistics","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":[0.001011586,0.0008167097,0.0003908355,0.001036934,0.001108483,0.001145783,0.0006014652,0.0005260035,0.008490837],"category_scores_gemma":[0.004616383,0.0003876821,0.0002453929,0.0004141126,0.0003190901,0.0009636612,0.0007427948,0.0009327773,0.003307431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001205431,"about_ca_system_score_gemma":0.001419554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008731465,"about_ca_topic_score_gemma":0.008179678,"domain_scores_codex":[0.998672,0.0001168882,0.00004964028,0.0002207985,0.0008195565,0.0001211467],"domain_scores_gemma":[0.9982811,0.0001810175,0.0001119189,0.0002996759,0.001061834,0.00006445577],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001129857,0.0003623522,0.0517755,0.0005099431,0.00005806483,0.0005220386,0.002435662,0.07401893,0.2788897,0.01360378,0.02845734,0.5482369],"study_design_scores_gemma":[0.0001534376,0.002908526,0.1328325,0.0003172919,0.00008233984,0.001057892,0.0009497815,0.2458819,0.4351408,0.003615593,0.1767561,0.0003037633],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5076602,0.0006856758,0.4022872,0.0004903438,0.0008290726,0.0009863022,0.002357673,0.01395232,0.07075131],"genre_scores_gemma":[0.9422698,0.0001579093,0.04640806,0.0001156475,0.00002723064,0.0001494147,0.001112171,0.0005904693,0.009169383],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008731465,"threshold_uncertainty_score":0.02840465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004437778252192001,"score_gpt":0.1791927597768239,"score_spread":0.174754981524632,"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."}}