{"id":"W4385662977","doi":"10.1016/j.cirp.2023.05.009","title":"Sensor and actuator integrated tooling systems","year":2023,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":61,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Actuator; Miniaturization; Mechatronics; Electronics; Machine tool; Magnetorheological fluid; Engineering; Robustness (evolution); Machining; Mechanical engineering; Computer science; Control engineering; Embedded system; Electrical engineering; Damper","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":[0.00006978067,0.00007109942,0.00009024756,0.00006127013,0.00004344228,0.00004872136,0.00003262717,0.00003816237,0.000006096466],"category_scores_gemma":[0.0000546153,0.00006664806,0.00001145888,0.0002045457,0.000008486686,0.00009802485,0.00001001926,0.00006087218,0.00003376505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005834876,"about_ca_system_score_gemma":0.000004647376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000304552,"about_ca_topic_score_gemma":6.305265e-7,"domain_scores_codex":[0.9996316,0.000005189767,0.00009428566,0.00008593086,0.00004754433,0.0001354835],"domain_scores_gemma":[0.999809,0.00003233071,0.00001418544,0.00006618942,0.00003626615,0.00004201316],"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":[0.000004621872,0.000002695406,0.0001416838,0.0002159169,0.00002634791,0.00001044786,0.0003944159,0.9812502,0.002088321,0.000396371,0.002524367,0.01294461],"study_design_scores_gemma":[0.0001214876,0.00001320552,0.0004028481,0.00009094601,0.000006297699,0.000007310097,0.0003986013,0.9694396,0.001087602,0.0001329091,0.02813283,0.0001664052],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7846941,0.00365497,0.2019627,0.0001988258,0.001227104,0.000305229,0.00005149636,0.003373587,0.004532048],"genre_scores_gemma":[0.9976168,0.0009090712,0.0008069263,0.00003739259,0.00007745118,0.00001094836,0.00002919165,0.00002834303,0.0004838221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2129228,"threshold_uncertainty_score":0.2717829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02775705687240718,"score_gpt":0.2643235749263032,"score_spread":0.236566518053896,"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."}}