{"id":"W2885939450","doi":"10.1002/j.2334-5837.2018.00483.x","title":"Case Study: Agile Systems Engineering at Lockheed Martin Aeronautics Integrated Fighter Group","year":2018,"lang":"en","type":"article","venue":"INCOSE International Symposium","topic":"Systems Engineering Methodologies and Applications","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Agile software development; Process (computing); Waterfall model; Engineering; Systems engineering; Component (thermodynamics); Engineering management; Process management; Software engineering; Computer science; Information system; Operating system","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003439071,0.0002887602,0.000257192,0.0001406196,0.0001056254,0.000117984,0.0003674827,0.0001263554,0.0001039215],"category_scores_gemma":[0.00005236296,0.0002783425,0.00007237242,0.0002414848,0.00003623054,0.0001338058,0.0001528769,0.0001976059,0.0002127766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000502088,"about_ca_system_score_gemma":0.000007685562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003480158,"about_ca_topic_score_gemma":0.00009982388,"domain_scores_codex":[0.9985445,0.00003567035,0.0005172829,0.0003070512,0.0002753038,0.0003202668],"domain_scores_gemma":[0.9991053,0.0001698458,0.00006478383,0.0003956446,0.0001683199,0.00009610417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008938643,0.0006619298,0.008752655,0.0003376231,0.001826148,0.003593974,0.004422468,0.6227486,0.3281061,0.003950932,0.0226036,0.002906626],"study_design_scores_gemma":[0.0008557211,0.0001984169,0.0006751992,0.000119694,0.00005972192,0.00409958,0.0007949955,0.868786,0.005801179,0.0000166887,0.1179028,0.0006900126],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9531386,0.00009675163,0.03913834,0.00007082272,0.004564306,0.0005303883,0.00006234679,0.0009807053,0.001417774],"genre_scores_gemma":[0.9962096,0.000009849843,0.001865763,0.00001747013,0.000950957,0.0002750342,0.00004741475,0.00007866694,0.0005452971],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.322305,"threshold_uncertainty_score":0.9999669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02466275870817365,"score_gpt":0.2567885384611913,"score_spread":0.2321257797530177,"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."}}