{"id":"W2810665034","doi":"10.2514/6.2018-3518","title":"F-35 Subsystems Design, Development & Verification","year":2018,"lang":"en","type":"article","venue":"2018 Aviation Technology, Integration, and Operations Conference","topic":"Engineering and Test Systems","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Computer science; Systems engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000277637,0.0001922446,0.0001633042,0.0003338497,0.0003215399,0.0001479875,0.0001553628,0.0002273319,0.00007632047],"category_scores_gemma":[0.0001017476,0.0001839326,0.00001507868,0.0004137503,0.0001263754,0.0002747235,0.00001422143,0.0001499631,0.0002674521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009234023,"about_ca_system_score_gemma":0.00007632994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002367288,"about_ca_topic_score_gemma":0.0005216693,"domain_scores_codex":[0.9990163,0.00003565309,0.0003995933,0.0002447395,0.0001190495,0.000184636],"domain_scores_gemma":[0.9991706,0.00002451345,0.00003815626,0.0003156261,0.0003969152,0.00005416623],"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":[0.00001600707,0.0001719076,0.00484807,0.0002284293,0.0002652135,0.000001554532,0.01361225,0.008677106,0.4998281,0.3491527,0.01183034,0.1113683],"study_design_scores_gemma":[0.0009062395,0.0002511201,0.008055029,0.0005024768,0.00005510015,0.00007655609,0.001747388,0.4767164,0.4452421,0.002524238,0.06250369,0.001419671],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05913159,0.0002322976,0.9376498,0.0001961171,0.000531179,0.0003465937,0.000006348798,0.0009840582,0.0009220567],"genre_scores_gemma":[0.960232,0.00008464273,0.03861569,0.00001408772,0.0001141244,0.0002227043,0.00008260397,0.00002203596,0.0006120997],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9011004,"threshold_uncertainty_score":0.7500552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0300139047924495,"score_gpt":0.2331171561265911,"score_spread":0.2031032513341416,"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."}}