{"id":"W4382878076","doi":"10.23977/acss.2023.070501","title":"Research on Sliding Mode and Backstepping Control of Missile Pitch Channal System","year":2023,"lang":"en","type":"article","venue":"Advances in Computer Signals and Systems","topic":"Guidance and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Differentiator; Backstepping; Control theory (sociology); Missile; Correctness; Computer science; Mathematics; Adaptive control; Engineering; Control (management); Algorithm; Artificial intelligence; Bandwidth (computing)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001214994,0.0001694222,0.0005180243,0.0003394392,0.00008495157,0.00008129468,0.0001432058,0.0000841892,5.302085e-7],"category_scores_gemma":[0.000006830343,0.0001517425,0.00003468195,0.0003955207,0.00003043759,0.000201478,0.00003763847,0.0001737405,0.000009382705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004230059,"about_ca_system_score_gemma":0.000009478085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006033832,"about_ca_topic_score_gemma":0.00001076435,"domain_scores_codex":[0.9982662,0.0001949534,0.0005037039,0.0002889428,0.0003325345,0.0004136538],"domain_scores_gemma":[0.9990835,0.0004948694,0.00006336051,0.0001921755,0.00007972214,0.00008640396],"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":[0.00003898126,0.00001387283,0.00257915,0.003343336,0.00006433325,0.00005177069,0.000778064,0.9685827,0.006379442,0.005627759,0.0002785128,0.0122621],"study_design_scores_gemma":[0.0007633342,0.0001208706,0.0004215064,0.002256915,0.000003758995,0.00001686445,0.0008663439,0.994059,0.0001813253,0.0000574254,0.001098417,0.0001542189],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.755905,0.062732,0.1743181,0.00006277845,0.002670826,0.001376742,0.00004616719,0.0004595495,0.002428851],"genre_scores_gemma":[0.9988739,0.0005657828,0.00004194678,0.00000738167,0.0003661897,0.00009566052,0.000001802536,0.00002455907,0.00002277752],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2429689,"threshold_uncertainty_score":0.6187878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03842317754745818,"score_gpt":0.3152886708677883,"score_spread":0.2768654933203302,"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."}}