{"id":"W2064464145","doi":"10.1016/s0890-6955(00)00109-7","title":"Design, implementation and validation of a system for the dynamic reconfiguration of open architecture machine tool controls","year":2001,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control reconfiguration; Field-programmable gate array; Embedded system; Architecture; Open architecture; Protocol (science); Controller (irrigation); Computer science; Control system; Computer architecture; Gate array; Field (mathematics); Systems architecture; Engineering; Control engineering; Operating system; Software; Electrical engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006330379,0.0001182844,0.0002637083,0.0001097064,0.00003996403,0.000147164,0.0002358242,0.00004317095,0.00002026484],"category_scores_gemma":[0.00003984004,0.00007728521,0.0000565498,0.00003152015,0.00001868134,0.0003036228,0.00002497167,0.0001354684,1.267293e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004709621,"about_ca_system_score_gemma":0.00001753095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004180358,"about_ca_topic_score_gemma":0.00003277561,"domain_scores_codex":[0.9990202,0.00008855823,0.0005363264,0.00007901029,0.0001995631,0.00007632459],"domain_scores_gemma":[0.9988256,0.0003874504,0.0004572427,0.00006974218,0.0002371835,0.00002278886],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002312688,0.0000478601,0.002034051,0.0003990368,0.001838727,0.00001506612,0.002316954,0.2547392,0.1758639,0.001491009,0.0002480512,0.5586934],"study_design_scores_gemma":[0.03029877,0.002364351,0.06874235,0.001621004,0.0009101413,0.00293745,0.002688488,0.6835577,0.1751734,0.003517755,0.02721135,0.0009772714],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.261087,0.001176773,0.734991,0.0009227677,0.0004328944,0.00108113,0.0002192395,0.00001160721,0.00007768016],"genre_scores_gemma":[0.9982021,0.0001040583,0.001441723,0.00003095497,0.00009385094,0.00002392841,0.00006192614,0.00001375828,0.00002769558],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7371151,"threshold_uncertainty_score":0.3151599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01412247368223177,"score_gpt":0.2894423003041788,"score_spread":0.275319826621947,"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."}}