{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001763761,0.001139377,0.0004428399,0.001315269,0.0009807886,0.001977239,0.00114729,0.001009156,0.0711422],"category_scores_gemma":[0.005263982,0.0005940707,0.001171951,0.0004064065,0.0007365051,0.001412655,0.001501216,0.001255526,0.02662878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001318403,"about_ca_system_score_gemma":0.003338676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01791728,"about_ca_topic_score_gemma":0.0169807,"domain_scores_codex":[0.9975373,0.0004744676,0.0001165868,0.0003445054,0.001112942,0.0004142657],"domain_scores_gemma":[0.997431,0.0005282909,0.00009802268,0.0006576951,0.001211173,0.00007385364],"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":[0.001790147,0.0007858303,0.005154867,0.0009606838,0.0001708836,0.0007667596,0.0006072075,0.1256532,0.05530315,0.1912505,0.1988855,0.4186713],"study_design_scores_gemma":[0.000477335,0.0007278864,0.002917986,0.0005425409,0.0001345195,0.0004808625,0.000310905,0.3824301,0.132168,0.05400028,0.4256726,0.0001370116],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03477962,0.0001906073,0.5300806,0.0007241432,0.0003877342,0.0008114231,0.01038525,0.04364061,0.379],"genre_scores_gemma":[0.4998403,0.000259825,0.2821898,0.0006425758,0.00009003458,0.0006842305,0.03518232,0.007319282,0.1737916],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0711422,"threshold_uncertainty_score":0.2379944,"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."}}