{"id":"W4386178975","doi":"10.2316/j.2023.201-0322","title":"STUDY ON ENGINEERING APPLICATION OF SERVO CONTROL SYSTEM IN GIANT FRICTION WELDING MACHINES, 122-132.","year":2023,"lang":"en","type":"article","venue":"Mechatronic systems and control","topic":"Mechanical stress and fatigue analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Welding; Friction welding; Aluminium; Conductor; Servo; Mechanical engineering; Materials science; Friction stir welding; Metallurgy; Anode; Electric resistance welding; Engineering; Composite material; Automotive engineering; Physics; Electrode","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":[0.0005578462,0.0001920088,0.0005286547,0.0002524603,0.0000458607,0.0000329386,0.0001094262,0.00009412445,0.000001549824],"category_scores_gemma":[0.0000141916,0.0001689761,0.00007496153,0.000386146,0.000003520737,0.00005913031,0.0000126713,0.0001453713,0.0000115959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001144877,"about_ca_system_score_gemma":0.000005456282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005661031,"about_ca_topic_score_gemma":0.00005723593,"domain_scores_codex":[0.9986592,0.0000624336,0.0005190073,0.0002498285,0.0002285429,0.0002810151],"domain_scores_gemma":[0.9994533,0.0001073424,0.00008765864,0.0002564163,0.00002805025,0.00006721244],"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":[0.00005004931,0.0001324897,0.007294002,0.000850605,0.000536031,0.00002826432,0.0003050631,0.9465957,0.01639936,0.01768278,0.00001371747,0.01011189],"study_design_scores_gemma":[0.002579063,0.0001035426,0.005384074,0.0001487612,0.00008907021,0.000002503934,0.0008589125,0.9905199,0.00008813807,0.00001013501,0.00006666556,0.0001492514],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6570372,0.002067597,0.3378248,0.00003031854,0.0005310298,0.001753931,0.00004897049,0.0005534673,0.0001527226],"genre_scores_gemma":[0.999395,0.00002703775,0.000005657659,0.000002700745,0.00009605473,0.000429289,0.000005867971,0.00002954756,0.000008830093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3423578,"threshold_uncertainty_score":0.6890643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007148418889576867,"score_gpt":0.1994814660590143,"score_spread":0.1923330471694374,"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."}}