{"id":"W2752854603","doi":"10.1109/icma.2017.8015995","title":"Boundary sliding mode controller design for supercavitating vehicles","year":2017,"lang":"en","type":"article","venue":"","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Supercavitation; Control theory (sociology); Robustness (evolution); Nonlinear system; Robust control; Controller (irrigation); Sliding mode control; Underwater; Control engineering; Computer science; Lyapunov function; Engineering; Control system; Physics; Control (management); Artificial intelligence","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":[0.0002684442,0.0001026421,0.0001579,0.0000274765,0.0006131416,0.0004179687,0.0003847335,0.00005137577,0.000008847088],"category_scores_gemma":[0.00001142854,0.00009148971,0.00006169888,0.00001229256,0.0000207904,0.0002723269,0.00004196767,0.00006446256,0.00002267809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003160433,"about_ca_system_score_gemma":0.000009332845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005018611,"about_ca_topic_score_gemma":0.00001302918,"domain_scores_codex":[0.9994069,0.00002335357,0.0001945884,0.0001014376,0.00007397763,0.0001996944],"domain_scores_gemma":[0.9993346,0.0001433266,0.0000324217,0.0003971409,0.00004573241,0.00004680163],"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":[0.00005544356,0.0000349083,0.001447008,0.0001793962,0.0002451408,0.000001515209,0.002678554,0.01466368,0.9066393,0.007984345,0.003750494,0.0623202],"study_design_scores_gemma":[0.001511172,0.00003915664,0.0007028707,0.00006404939,0.00001952563,0.00000479167,0.0005865792,0.8999318,0.06356768,0.006022343,0.02720819,0.0003418519],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08790301,0.0002760388,0.9057503,0.0002856224,0.0000913461,0.0003848206,0.000006244387,0.0003039295,0.004998716],"genre_scores_gemma":[0.9525741,0.00001964682,0.04653507,0.00004625374,0.0000761555,0.0001062985,0.000002510612,0.00003164899,0.0006082542],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8852681,"threshold_uncertainty_score":0.4715852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06103835957916394,"score_gpt":0.2883756342198659,"score_spread":0.227337274640702,"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."}}