{"id":"W3094395907","doi":"10.37775/eis.2020.2.4","title":"On the sliding mode control for precision machining","year":2020,"lang":"en","type":"article","venue":"Mérnöki és Informatikai Megoldások","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Savaria (Canada)","funders":"Eusko Jaurlaritza","keywords":"Machining; Control theory (sociology); Robustness (evolution); Actuator; Miniaturization; Control engineering; Sliding mode control; Computer science; Mode (computer interface); Engineering; Mechanical engineering; Control (management); Nonlinear system; Physics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003358923,0.0004602438,0.0003568504,0.0002987173,0.0001791919,0.0006123462,0.0003195693,0.0004780867,0.001982303],"category_scores_gemma":[0.0006058387,0.00009978329,0.0002906082,0.00041309,0.0007293733,0.0006010283,0.0003534108,0.0009696392,0.0003424707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002930513,"about_ca_system_score_gemma":0.0002573451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001275213,"about_ca_topic_score_gemma":0.0004106776,"domain_scores_codex":[0.9997426,0.00005931739,0.00001276989,0.00005184829,0.0001180071,0.0000154911],"domain_scores_gemma":[0.9998986,0.00004646612,0.000008722694,0.00001063312,0.00003084123,0.000004719212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002709788,0.00007872046,0.000625335,0.0007373529,0.0000738299,0.0002844132,0.0003980366,0.1697578,0.02969238,0.3466631,0.00503505,0.4463829],"study_design_scores_gemma":[0.00006068079,0.001303901,0.002593186,0.0003504284,0.00006916534,0.0003829238,0.00008155726,0.7005892,0.009245135,0.201878,0.08336668,0.0000792735],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02379016,0.03884972,0.8822848,0.0008410461,0.00128913,0.000075814,0.00006206352,0.0002821593,0.0525251],"genre_scores_gemma":[0.8623683,0.03029706,0.08043314,0.0005200036,0.00137641,0.0001684938,0.0001296667,0.00007142114,0.02463559],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001982303,"threshold_uncertainty_score":0.006631434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01418209974023327,"score_gpt":0.2339154356239469,"score_spread":0.2197333358837137,"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."}}