{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003201883,0.0001912236,0.0003063983,0.00008990236,0.00001938008,0.00002438981,0.00004680641,0.0001759962,0.00005226945],"category_scores_gemma":[0.0000322436,0.000177263,0.00002255725,0.00005084657,0.00001399577,0.00004610072,0.000005098979,0.00004987102,0.00001402738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000256813,"about_ca_system_score_gemma":0.00000759566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004660053,"about_ca_topic_score_gemma":0.0001807357,"domain_scores_codex":[0.999492,0.000005071647,0.0001380266,0.0001504939,0.0000569613,0.0001574119],"domain_scores_gemma":[0.9997475,0.00005449456,0.00005080346,0.00008231025,0.00003602518,0.00002885761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001717114,0.00001396245,0.00003385088,0.002822823,0.0003098088,0.00000108455,0.00003934852,0.08571484,0.001683831,0.0006098062,0.9051173,0.003636161],"study_design_scores_gemma":[0.001437911,0.00001550866,0.000002259441,0.0002272755,0.00005160745,0.000003029218,0.000003605531,0.3502826,0.0000525274,0.000162524,0.6473504,0.0004107436],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.000001618704,0.001439029,0.576869,0.000004479167,0.00005638066,0.0005492353,0.00003876694,0.0006830244,0.4203585],"genre_scores_gemma":[0.002833257,0.00005278164,0.03462564,0.00002375761,0.0004636669,0.0002625177,0.00006262238,0.0007226363,0.9609531],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5422433,"threshold_uncertainty_score":0.7228575,"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."}}