{"id":"W3014604693","doi":"10.1109/tim.2020.2985553","title":"Guidance Mechanism for Flexible-Wing Aircraft Using Measurement-Interfaced Machine-Learning Platform","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Instrumentation and Measurement","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Instrumentation (computer programming); Process (computing); Control engineering; Interface (matter); Stability (learning theory); Aerodynamics; Artificial neural network; Engineering; Artificial intelligence; Computer science; Wing; Mechanism (biology); Control system; Simulation; Aerospace engineering; Machine learning","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":[0.0002546109,0.0002282577,0.0001944423,0.00007240542,0.000485161,0.00008519719,0.00007378092,0.00004307254,0.000174364],"category_scores_gemma":[0.000003477586,0.0002306579,0.0001250299,0.0001305549,0.00002253653,0.0002443955,0.000001786945,0.0002294214,0.000007530861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001401094,"about_ca_system_score_gemma":0.00005775327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006157428,"about_ca_topic_score_gemma":0.000009358964,"domain_scores_codex":[0.9984763,0.00004434478,0.0003503209,0.0003540236,0.0005200927,0.000254939],"domain_scores_gemma":[0.9993656,0.00001192246,0.0001312041,0.00009056291,0.0002171514,0.0001835993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009851996,0.000370375,0.0002396764,0.0001916584,0.0006651027,7.16349e-7,0.002435188,0.1653077,0.5840497,0.00525285,0.0002157637,0.2402861],"study_design_scores_gemma":[0.002981946,0.0003221905,0.00001294925,0.0001339245,0.0001459592,0.00000200996,0.00124666,0.3766648,0.6164322,0.0005319323,0.001153122,0.000372326],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0475946,0.00002607522,0.9502944,0.0005714666,0.0005236957,0.000581386,0.00002290668,0.0001074996,0.0002779814],"genre_scores_gemma":[0.9959883,0.00001310401,0.003221415,0.0004441823,0.0001307382,0.0001020145,0.000006347546,0.00003042472,0.00006346146],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9483937,"threshold_uncertainty_score":0.9405956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1112112948962587,"score_gpt":0.2811713867821686,"score_spread":0.1699600918859099,"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."}}