{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006312913,0.0001040053,0.0001007419,0.00004492096,0.00003297172,0.00003901696,0.00005279548,0.00004375941,0.0002472633],"category_scores_gemma":[0.000005890572,0.00008622619,0.00003727557,0.00002490286,0.000005679369,0.00005608984,0.000002735678,0.00005265017,0.00001702609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002710242,"about_ca_system_score_gemma":0.00000457361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002519311,"about_ca_topic_score_gemma":0.00000309432,"domain_scores_codex":[0.9995646,0.000005730296,0.0001307095,0.00009888638,0.00004348274,0.0001565913],"domain_scores_gemma":[0.9998114,0.00003335936,0.00001100162,0.00008089272,0.00002254232,0.00004085855],"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":[0.000004799638,0.000008740637,0.00002276199,0.00007062982,0.0000301927,3.955504e-7,0.00004289851,0.9778787,0.00003221197,0.001636952,0.001276007,0.01899564],"study_design_scores_gemma":[0.0004965577,0.00002755936,0.00006328999,0.00001315035,0.0000113216,0.000002438997,0.00001884877,0.6627441,0.24632,0.0004101709,0.08969862,0.0001939715],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006125939,0.00004845123,0.9887943,0.0000130531,0.0003458142,0.0002064081,0.000003246353,0.0003133469,0.004149411],"genre_scores_gemma":[0.9548469,0.00001695047,0.04454044,0.000102245,0.0000417815,0.0000321532,0.000009925836,0.00002332843,0.0003862794],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.948721,"threshold_uncertainty_score":0.3516202,"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."}}