{"id":"W2810389293","doi":"10.2514/6.2018-3515","title":"F-35 Structural Design, Development, and Verification","year":2018,"lang":"en","type":"article","venue":"2018 Aviation Technology, Integration, and Operations Conference","topic":"Engineering and Test Systems","field":"Engineering","cited_by":12,"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":[0.001007098,0.0008515408,0.0003499265,0.0008395296,0.0007933601,0.001162191,0.001012366,0.000750858,0.03989922],"category_scores_gemma":[0.001728183,0.0004882584,0.0008786961,0.0003200953,0.0007657252,0.000667199,0.0008439276,0.0008485896,0.009686207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009136564,"about_ca_system_score_gemma":0.002763986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0116247,"about_ca_topic_score_gemma":0.01237659,"domain_scores_codex":[0.999073,0.0001631751,0.0000381405,0.000122161,0.0004376945,0.0001657853],"domain_scores_gemma":[0.9991077,0.0001392621,0.00003656889,0.0002225785,0.0004338617,0.00006007725],"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":[0.000999653,0.0003435721,0.004840333,0.0006834037,0.0001462037,0.000456085,0.0004719226,0.1604444,0.07279758,0.1610648,0.09522063,0.5025313],"study_design_scores_gemma":[0.0003293065,0.001202571,0.003803555,0.0002361215,0.000155984,0.0006024538,0.000157358,0.3273699,0.1036193,0.03569691,0.5267307,0.00009578377],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02745326,0.0003254672,0.7760465,0.0003459529,0.0002662478,0.0005840108,0.002933594,0.02074126,0.1713039],"genre_scores_gemma":[0.3217238,0.0002573429,0.5874255,0.0002510489,0.00006685513,0.0004328523,0.005805338,0.002350854,0.08168647],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03989922,"threshold_uncertainty_score":0.1334762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01963609208057375,"score_gpt":0.2260937828019779,"score_spread":0.2064576907214042,"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."}}