{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001332772,0.0001447084,0.0001142391,0.0002254008,0.0002909812,0.0001243433,0.00008553989,0.0001598573,0.000035111],"category_scores_gemma":[0.00007140102,0.0001349875,0.000007247326,0.0002376036,0.0001455998,0.0002736225,0.00001320187,0.000116829,0.00002989115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003869226,"about_ca_system_score_gemma":0.00004068193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001533146,"about_ca_topic_score_gemma":0.0001891663,"domain_scores_codex":[0.999348,0.00001905549,0.0002458449,0.0001898521,0.00006781443,0.0001294756],"domain_scores_gemma":[0.999533,0.00001795889,0.00002417885,0.0001700667,0.0002140217,0.00004078386],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001086396,0.00003518224,0.007318522,0.0001164776,0.0001442059,0.000001258149,0.009471325,0.002038201,0.2224372,0.5126005,0.001970558,0.2438556],"study_design_scores_gemma":[0.0005148224,0.0001630709,0.01908722,0.0001442436,0.00002718152,0.00005132284,0.001010661,0.6734145,0.2955994,0.004582877,0.004755591,0.0006491509],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2581193,0.0002261173,0.7401228,0.0001746767,0.0002478585,0.0002048328,0.000005026275,0.0005501918,0.0003491632],"genre_scores_gemma":[0.9605013,0.00007470106,0.03904497,0.00001296468,0.00006285495,0.00007511063,0.00003773607,0.00001347667,0.0001768765],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.702382,"threshold_uncertainty_score":0.5504629,"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."}}