{"id":"W2811257610","doi":"10.2514/6.2018-3519","title":"F-35 Mission Systems 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":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Computer science; Systems engineering; Development (topology); 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":[0.0002689424,0.0001930984,0.0001621614,0.0003172373,0.0003486523,0.0001770573,0.0001490339,0.0002446314,0.00006318703],"category_scores_gemma":[0.0001104615,0.0001787612,0.00001368052,0.0003398964,0.0001089317,0.0002697325,0.00001532203,0.0001528977,0.0002299257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000973245,"about_ca_system_score_gemma":0.00007902156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000262928,"about_ca_topic_score_gemma":0.0001096541,"domain_scores_codex":[0.9990097,0.00003897711,0.0003992635,0.0002465983,0.0001262218,0.0001792928],"domain_scores_gemma":[0.9991618,0.00002491445,0.00004070062,0.0003058467,0.0004050036,0.00006173381],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001880047,0.0001840159,0.002428515,0.0002780911,0.0002209068,0.000001621505,0.009943031,0.03396507,0.546129,0.3008978,0.01635246,0.0895807],"study_design_scores_gemma":[0.0005697866,0.0001715484,0.002723086,0.0004854892,0.00003678161,0.00005076581,0.001245496,0.7641744,0.1724734,0.001014439,0.05616299,0.0008917968],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04325408,0.0003855506,0.953415,0.0001893583,0.0006572089,0.0003808308,0.000006259977,0.0009508083,0.0007609375],"genre_scores_gemma":[0.9692904,0.0001206605,0.02943266,0.00001034998,0.0001120202,0.0001342655,0.00009000682,0.00002192698,0.0007877477],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9260363,"threshold_uncertainty_score":0.728967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03435963675823007,"score_gpt":0.2428047723293397,"score_spread":0.2084451355711096,"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."}}