{"id":"W2732085381","doi":"10.4050/f-0073-2017-12080","title":"Flight Testing of Health Management Technologies","year":2017,"lang":"en","type":"article","venue":"","topic":"Aerospace and Aviation Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Computer science; Systems engineering; Aeronautics; Engineering","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":[0.001059523,0.000514748,0.0002334012,0.0004787495,0.0002747861,0.000440344,0.0007122071,0.0005712479,0.0031759],"category_scores_gemma":[0.0013676,0.0001255023,0.0002541009,0.0001979942,0.0003254138,0.000607327,0.0005134455,0.0003682168,0.0005095522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004725705,"about_ca_system_score_gemma":0.0004199747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001207033,"about_ca_topic_score_gemma":0.001050196,"domain_scores_codex":[0.999182,0.0001716126,0.00003925706,0.0001389588,0.0003273927,0.0001405706],"domain_scores_gemma":[0.9990029,0.0002462044,0.00009691073,0.0001675908,0.0004085539,0.00007775464],"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":[0.002023023,0.001741786,0.03225814,0.0004689109,0.0001138963,0.000546867,0.0008566378,0.01358338,0.7774442,0.001437015,0.002757705,0.1667685],"study_design_scores_gemma":[0.000415758,0.03279588,0.06431181,0.00008914953,0.0001305514,0.0006912862,0.0006527929,0.03238238,0.8555386,0.0004404844,0.01248729,0.00006401841],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.977762,0.0002189657,0.01633215,0.000116876,0.00005513811,0.0004580368,0.0005132235,0.0005751911,0.003968472],"genre_scores_gemma":[0.9844162,0.00009685987,0.0126615,0.00009339624,0.00001125867,0.0001213215,0.0004194713,0.00002391513,0.002156105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0031759,"threshold_uncertainty_score":0.01062447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02299495192684296,"score_gpt":0.2469728189322016,"score_spread":0.2239778670053587,"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."}}