{"id":"W1919047133","doi":"10.1109/cdc.1988.194749","title":"Intelligent control for computer integrated manufacturing","year":2003,"lang":"en","type":"article","venue":"","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Intelligent control; Controller (irrigation); Heuristic; Computer science; Control (management); Control engineering; Adaptive control; Process (computing); Process control; Machining; Artificial intelligence; Engineering; Operating system; Mechanical engineering","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":[0.0005127606,0.0009332786,0.0007805802,0.0008043128,0.000443936,0.001942042,0.0008850423,0.001192461,0.009647447],"category_scores_gemma":[0.001118866,0.0002399745,0.0003903725,0.001053857,0.0007713105,0.001235188,0.0008623543,0.001759835,0.004250494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008403535,"about_ca_system_score_gemma":0.0007104337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001478334,"about_ca_topic_score_gemma":0.0009982226,"domain_scores_codex":[0.9993217,0.0001110421,0.000049306,0.0001189121,0.0003552147,0.00004376801],"domain_scores_gemma":[0.9996468,0.00009177683,0.0000328461,0.00006760116,0.0001394672,0.00002146013],"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":[0.0000791845,0.00005457134,0.0002551915,0.0008286155,0.00005968575,0.0002300271,0.0001547638,0.02617037,0.009928339,0.3546848,0.0749858,0.5325686],"study_design_scores_gemma":[0.00007148334,0.0001818259,0.0006728491,0.0003083338,0.00005155404,0.0004204323,0.00003303895,0.1324313,0.005427619,0.1950501,0.6652815,0.00006989371],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002293083,0.04305543,0.8308945,0.002411318,0.002923138,0.0002074893,0.0003130967,0.00436145,0.1135405],"genre_scores_gemma":[0.2731508,0.05388077,0.5091193,0.003041799,0.004853901,0.001552287,0.002457437,0.0007667373,0.1511769],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009647447,"threshold_uncertainty_score":0.03227395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009306826868754132,"score_gpt":0.200165671487468,"score_spread":0.1908588446187138,"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."}}