{"id":"W2963708853","doi":"","title":"ARX model for experimental vibration analysis of grinding process by flexible manipulator","year":2019,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Grinding; Vibration; Manipulator (device); Process (computing); Computer science; Control engineering; Control theory (sociology); Mechanical engineering; Engineering; Acoustics; Physics; Artificial intelligence; Robotic arm","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":[0.0004505596,0.0001147325,0.0001849642,0.0001406494,0.00008307699,0.00005068396,0.0002055289,0.00005911888,0.00003982232],"category_scores_gemma":[0.00006560336,0.0001276666,0.0000785203,0.0004682691,0.00002090145,0.0002631689,0.00003322878,0.0000627214,0.000002268892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004178712,"about_ca_system_score_gemma":0.00001872557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001669387,"about_ca_topic_score_gemma":0.0000381314,"domain_scores_codex":[0.9991883,0.00007632405,0.0002415228,0.0002123474,0.0001368572,0.0001446327],"domain_scores_gemma":[0.9990029,0.0001457395,0.0001177401,0.0003341846,0.0003537658,0.00004560798],"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":[0.000009413035,0.00009455993,0.001219333,0.0001261556,0.0001055668,2.805115e-8,0.003500425,0.9435259,0.03374585,0.016145,0.0000528822,0.001474958],"study_design_scores_gemma":[0.0002085685,2.992465e-7,0.0001070994,0.00005723198,0.00004345722,1.303643e-7,0.00009753862,0.7831733,0.2159358,0.000169096,0.0001033027,0.0001041884],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2253143,0.0002459441,0.7703218,0.00006557616,0.00003278116,0.0001972673,0.00002752057,0.0001341442,0.003660595],"genre_scores_gemma":[0.9565768,0.00003528843,0.04181018,0.00001227575,0.000002872421,0.00004066559,0.0004165211,0.00002689403,0.001078471],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7312625,"threshold_uncertainty_score":0.5206091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01024119674870981,"score_gpt":0.2384841755047889,"score_spread":0.2282429787560791,"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."}}