{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001016109,0.001039857,0.0003329044,0.000783882,0.0008945913,0.001023088,0.0009664278,0.0007141308,0.03319771],"category_scores_gemma":[0.001695412,0.0003597324,0.0008861523,0.000192222,0.0007606413,0.0007467253,0.0008556189,0.0005884772,0.007047814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001051434,"about_ca_system_score_gemma":0.002849563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01375148,"about_ca_topic_score_gemma":0.01066585,"domain_scores_codex":[0.9989961,0.0001984557,0.00003582152,0.0001249985,0.0004315168,0.0002131559],"domain_scores_gemma":[0.9991806,0.0001554183,0.00004672616,0.0002308376,0.0003429703,0.00004351969],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002517911,0.0004150411,0.01007538,0.001220214,0.0002651259,0.001003398,0.0007483842,0.3854824,0.1102605,0.06472209,0.05357649,0.369713],"study_design_scores_gemma":[0.0004620311,0.002209582,0.006248313,0.0002016607,0.0002257483,0.0006288653,0.0002449095,0.5312837,0.2728992,0.01448807,0.1709954,0.0001125113],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1460026,0.0003024859,0.6913493,0.0004000762,0.0002447108,0.0009555041,0.00401126,0.02824159,0.1284925],"genre_scores_gemma":[0.7730433,0.00009061523,0.1838867,0.0001696588,0.000029501,0.0003223908,0.002858322,0.0008232577,0.03877623],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03319771,"threshold_uncertainty_score":0.1110574,"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."}}