{"id":"W3005581278","doi":"10.3390/aerospace7090136","title":"In-Flight Test Campaign to Validate PIO Detection and Assessment Tools","year":2020,"lang":"en","type":"article","venue":"Aerospace","topic":"Aerospace and Aviation Technology","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Flight test; Aeronautics; Test (biology); EXPOSE; Computer science; Flight training; Flight simulator; Aerospace; Engineering; Simulation; Aerospace engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000537187,0.0001131674,0.0001384474,0.00004383428,0.0000313673,0.00004440242,0.00007426921,0.00008467531,0.0000289614],"category_scores_gemma":[0.00006136372,0.0001200814,0.00001610251,0.0003083207,0.00001265195,0.0001777691,0.00004305474,0.0001807428,0.0001283634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006238452,"about_ca_system_score_gemma":0.000007570346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001103455,"about_ca_topic_score_gemma":0.00008888231,"domain_scores_codex":[0.9994329,0.000008280101,0.0001160548,0.000176722,0.00008007969,0.0001859472],"domain_scores_gemma":[0.9997091,0.0000461269,0.00001713357,0.0001207716,0.00001418175,0.00009268313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001087827,0.00004037147,0.03059098,0.00009667047,0.00002890399,0.00003492173,0.001977295,0.004779532,0.9334004,0.001207226,0.01373911,0.01409371],"study_design_scores_gemma":[0.001198408,0.0005669442,0.07644705,0.0000498948,0.00002600753,0.00001363387,0.0008059814,0.01346086,0.7696878,0.0002816156,0.1366481,0.0008136693],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9512042,0.0001079346,0.03361294,0.01186844,0.0001876695,0.0003364939,0.00001008622,0.0007022455,0.001970005],"genre_scores_gemma":[0.9971595,0.00006806768,0.001765272,0.0007136224,0.0000520505,0.00003426023,0.000001758946,0.00002174197,0.0001837377],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1637125,"threshold_uncertainty_score":0.4896779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01387816718033505,"score_gpt":0.2364748551441694,"score_spread":0.2225966879638343,"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."}}