{"id":"W2810865850","doi":"10.2514/6.2018-3681","title":"F-35 STOVL Performance Requirements Verification","year":2018,"lang":"en","type":"article","venue":"2018 Aviation Technology, Integration, and Operations Conference","topic":"Engineering and Test Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Computer science","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":[0.0001596145,0.0001593783,0.0001275289,0.000274703,0.0002808719,0.0001052854,0.0001435126,0.0001781987,0.0001005442],"category_scores_gemma":[0.00004243876,0.0001548359,0.00001440692,0.0003730549,0.0001530466,0.0004282318,0.00001451978,0.000145733,0.0001412508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000655431,"about_ca_system_score_gemma":0.00003302289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003439493,"about_ca_topic_score_gemma":0.0002805392,"domain_scores_codex":[0.9992262,0.00001653693,0.0002989843,0.000183938,0.0001082521,0.0001661402],"domain_scores_gemma":[0.9992937,0.00001014208,0.00003116226,0.0003013858,0.0003214765,0.00004214403],"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":[0.00001508811,0.0001582566,0.03929025,0.0002185204,0.0001831948,0.000001003247,0.006532799,0.007411098,0.2599581,0.4655556,0.007161677,0.2135145],"study_design_scores_gemma":[0.0004033145,0.0002312389,0.01886098,0.0001821917,0.0000250871,0.00001782607,0.0007519436,0.8921591,0.08102795,0.0009567206,0.004926231,0.0004573963],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5669289,0.0001301871,0.4284377,0.0002690438,0.0006192765,0.0002680947,0.00001272514,0.0009523839,0.002381666],"genre_scores_gemma":[0.9944023,0.0002533574,0.004604988,0.00002092977,0.0001225866,0.0001189224,0.00007442202,0.00001829648,0.0003841489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.884748,"threshold_uncertainty_score":0.6314024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01856188290635417,"score_gpt":0.2318019890864918,"score_spread":0.2132401061801376,"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."}}