{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001864301,0.0002174712,0.0002118631,0.0001115382,0.0001061724,0.0003446087,0.0003470269,0.0002407631,0.00055303],"category_scores_gemma":[0.0003048911,0.0001112385,0.00020695,0.00007383624,0.0002521336,0.0001665938,0.0001502664,0.0002630318,0.0001191453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000134873,"about_ca_system_score_gemma":0.0001623523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007522208,"about_ca_topic_score_gemma":0.0009620499,"domain_scores_codex":[0.9999056,0.00001566341,0.000002456479,0.00002277887,0.00004053305,0.00001290367],"domain_scores_gemma":[0.9998831,0.00004877764,0.00002524137,0.00001087424,0.00002638269,0.000005659047],"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":[0.0003434161,0.0001296866,0.001071129,0.0001647255,0.00003333855,0.0001786406,0.0001510736,0.4706828,0.449699,0.003434243,0.0004704568,0.07364146],"study_design_scores_gemma":[0.00001907114,0.0002882905,0.0008220903,0.000003854836,0.00001509397,0.00004421516,0.00001143417,0.9779702,0.0196909,0.0004896554,0.0006369307,0.000008314497],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2740246,0.0002081719,0.7204556,0.00009225599,0.00004671736,0.00003690502,0.00002176927,0.0006809674,0.004432916],"genre_scores_gemma":[0.9857428,0.00005433026,0.0132821,0.00001232995,0.000006346301,0.00001457166,0.000009199753,0.00001493505,0.0008634628],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0007522208,"threshold_uncertainty_score":0.001850128,"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."}}