{"id":"W1584382310","doi":"10.1002/9780470029558.oth5","title":"Controller Tuning for Capacity and Dead Time Processes","year":2006,"lang":"en","type":"other","venue":"","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Dead time; Controller (irrigation); Control theory (sociology); Environmental science; Computer science; Mathematics; Control (management); Statistics; Biology; 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":[0.0005036778,0.0006947811,0.0005280285,0.0004590669,0.0004436864,0.0007963725,0.0007984781,0.0004975707,0.005574023],"category_scores_gemma":[0.001683413,0.0002440145,0.0002541809,0.000423952,0.0003735292,0.0006559629,0.0006248316,0.0008345207,0.0008644422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004412775,"about_ca_system_score_gemma":0.0005485736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003717378,"about_ca_topic_score_gemma":0.004791013,"domain_scores_codex":[0.9997371,0.00003469182,0.00001070361,0.00004006802,0.0001428103,0.00003466841],"domain_scores_gemma":[0.9995812,0.000161137,0.00005581436,0.00006256172,0.000122048,0.00001741955],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001980825,0.0001110963,0.0002410345,0.000156023,0.00003535338,0.00005386362,0.00005146972,0.793921,0.01474107,0.01427642,0.004422174,0.1717925],"study_design_scores_gemma":[0.00001107335,0.00001979567,0.00008513147,0.000003676149,0.000004460468,0.00001133534,0.00000368361,0.9919118,0.003886562,0.002595196,0.001462068,0.000005210778],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.0253944,0.0005317731,0.9485394,0.0001501224,0.0001340299,0.00005135847,0.00009174288,0.001476678,0.02363062],"genre_scores_gemma":[0.9090062,0.0002299696,0.07372755,0.00007050508,0.00004567645,0.00006977205,0.0001360755,0.0002808617,0.01643334],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.005574023,"threshold_uncertainty_score":0.01864696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00572361858994374,"score_gpt":0.1830228298105872,"score_spread":0.1772992112206435,"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."}}