{"id":"W2616107979","doi":"10.1016/s1474-6670(17)36703-4","title":"Reconfiguring the Control Systems in Holonic Manufacturing","year":2001,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Flexible and Reconfigurable Manufacturing Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Control reconfiguration; Agile software development; Flexibility (engineering); Variety (cybernetics); Agile manufacturing; Systems engineering; Distributed computing; Engineering; Block (permutation group theory); Controller (irrigation); Function (biology); Computer science; Embedded system; Manufacturing engineering; Software engineering; Artificial intelligence","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":[0.0001788555,0.0003019019,0.0002708198,0.0003598926,0.0003904175,0.001124975,0.0003966438,0.0003737771,0.002997093],"category_scores_gemma":[0.0003952454,0.000212408,0.000201212,0.000257079,0.0006646506,0.0007680231,0.0004332766,0.0006081886,0.0005674625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004001021,"about_ca_system_score_gemma":0.000218957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009985047,"about_ca_topic_score_gemma":0.001197251,"domain_scores_codex":[0.9998655,0.00002681484,0.000008162839,0.00002937382,0.00004572769,0.00002441246],"domain_scores_gemma":[0.9998467,0.00004579797,0.00001513365,0.00005562845,0.00002214514,0.00001455195],"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":[0.0004085798,0.00009961893,0.0007130718,0.000224626,0.00005095734,0.0004282806,0.0004292935,0.1494707,0.1075947,0.2226351,0.006439044,0.511506],"study_design_scores_gemma":[0.00006832664,0.0004007268,0.002570119,0.00006459722,0.00005678643,0.000595033,0.0001924335,0.6796435,0.06848373,0.1936037,0.05424771,0.00007344618],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1411697,0.004656361,0.7832103,0.0008870229,0.0008560693,0.00008286854,0.0001006353,0.001961187,0.06707584],"genre_scores_gemma":[0.9310834,0.001170173,0.04923796,0.0001737528,0.0001909963,0.00004350299,0.0000807564,0.00009552762,0.01792379],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002997093,"threshold_uncertainty_score":0.01002628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009374206065647022,"score_gpt":0.1948816941880208,"score_spread":0.1855074881223738,"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."}}