{"id":"W2038191565","doi":"10.1115/1.1559155","title":"Surface Finish Enhancement in a Turning Operation via Adaptive STR Control of the Depth of Cut","year":2003,"lang":"en","type":"article","venue":"Journal of Manufacturing Science and Engineering","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Control theory (sociology); Surface (topology); Vibration; Adaptive control; Process (computing); Linear-quadratic-Gaussian control; Regulator; Computer science; Engineering; Control engineering; Control (management); Mechanical engineering; Acoustics; Physics; Mathematics; Artificial intelligence; Chemistry","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":[0.0004798282,0.00007847178,0.000152132,0.00009747384,0.00003550109,0.000016106,0.0001188481,0.00002262508,0.000002334207],"category_scores_gemma":[0.00009361556,0.00005959099,0.00002323956,0.0001581842,0.00003606669,0.0003463011,0.00001210667,0.0001463688,5.225376e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005585076,"about_ca_system_score_gemma":0.00003487523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003540493,"about_ca_topic_score_gemma":0.000003130325,"domain_scores_codex":[0.9992722,0.000007691959,0.000291374,0.00006555047,0.0002315722,0.0001315745],"domain_scores_gemma":[0.9996772,0.00004225033,0.0001147344,0.00006245985,0.00007104984,0.00003224285],"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":[0.000004894153,0.000005521684,0.0003037692,0.00004038931,0.000006111786,5.438999e-7,0.0003426161,0.953704,0.04446956,0.00004050637,4.87726e-7,0.001081569],"study_design_scores_gemma":[0.0003365781,0.00005091385,0.005016598,0.0001751013,0.000008095915,0.00001194779,0.0001042339,0.3672352,0.6269363,0.00002924539,0.00002813315,0.00006757299],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6816191,0.0002462343,0.3178739,0.000006106751,0.0001394557,0.00004328824,3.207441e-7,0.000004168559,0.00006739721],"genre_scores_gemma":[0.992032,0.00009223393,0.007851697,0.000004584843,0.000009878828,5.770333e-7,4.442708e-8,0.000006668246,0.000002333276],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5864688,"threshold_uncertainty_score":0.243005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006069119904472162,"score_gpt":0.2054250570613567,"score_spread":0.1993559371568845,"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."}}