{"id":"W1994393480","doi":"10.1007/s00170-014-5838-z","title":"Vibro-impact dynamics of material removal in a robotic grinding process","year":2014,"lang":"en","type":"article","venue":"The International Journal of Advanced Manufacturing Technology","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hydro-Québec; École de Technologie Supérieure","funders":"","keywords":"Waviness; Grinding; Stiffness; Process (computing); Mechanical engineering; Vibration; Power (physics); Engineering; Robot; Structural engineering; Computer science; Acoustics; 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":[0.000138318,0.0002517694,0.00037725,0.0002843344,0.0005484395,0.0005839184,0.0005457009,0.0007149997,0.003059608],"category_scores_gemma":[0.0005250866,0.0002361869,0.0003084416,0.0001777399,0.0007621501,0.0005778865,0.0005588183,0.0004581443,0.0002205937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003909386,"about_ca_system_score_gemma":0.0004324321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004400775,"about_ca_topic_score_gemma":0.00290189,"domain_scores_codex":[0.9998995,0.00001279988,0.000003046853,0.00001730279,0.00003969046,0.00002762574],"domain_scores_gemma":[0.9998351,0.00008054505,0.00002529339,0.000008600916,0.00002074679,0.00002970171],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007278548,0.0003615503,0.003051122,0.0001506232,0.00006079033,0.001269746,0.0003608286,0.8436266,0.1213438,0.01202891,0.000714848,0.01630331],"study_design_scores_gemma":[0.00001479153,0.00006600565,0.003328889,0.000002792198,0.000004157471,0.00004805564,0.0000485296,0.9931822,0.002363635,0.00076235,0.000163543,0.00001506878],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.94574,0.0002359629,0.03810432,0.0003987875,0.00006776195,0.00003550605,0.0000482416,0.0001128692,0.01525656],"genre_scores_gemma":[0.9972116,0.00003708071,0.0005883615,0.000009466747,0.000004681444,0.000003719701,0.00001085294,0.000009519574,0.00212466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004400775,"threshold_uncertainty_score":0.01023537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003926874029620375,"score_gpt":0.2472313064910347,"score_spread":0.2433044324614143,"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."}}