{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003468458,0.0005383254,0.0004028195,0.0004917866,0.0003335032,0.0008916049,0.001153276,0.0007133863,0.009156194],"category_scores_gemma":[0.0004792041,0.0002543904,0.0002348421,0.0006754835,0.0002039782,0.0009334383,0.0006393687,0.0005927436,0.002228745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003693894,"about_ca_system_score_gemma":0.0006471021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000811987,"about_ca_topic_score_gemma":0.001966999,"domain_scores_codex":[0.9993101,0.0000404087,0.00002872567,0.0001289403,0.0004456794,0.00004615233],"domain_scores_gemma":[0.9996667,0.00004626793,0.00003639968,0.00005713544,0.0001699337,0.00002361999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005610065,0.0001990052,0.001975455,0.0006024829,0.00008435961,0.0001947591,0.000133385,0.01340022,0.3427071,0.01635509,0.01397545,0.6098117],"study_design_scores_gemma":[0.0001692113,0.002277994,0.01418862,0.000117637,0.0001669099,0.0008566942,0.0001154841,0.2916721,0.4305937,0.007566453,0.2521105,0.0001645777],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07801269,0.004082323,0.8302595,0.0006651856,0.001413013,0.0003821557,0.001622322,0.006738304,0.07682455],"genre_scores_gemma":[0.717317,0.001334622,0.184979,0.0005366781,0.0002461639,0.0002320242,0.001514983,0.0001491738,0.09369022],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009156194,"threshold_uncertainty_score":0.03063053,"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."}}