{"id":"W4391564396","doi":"10.2139/ssrn.4718547","title":"Cascade Internal Model Control Scheme for Pid Feedback Control on Keda Tours Experiment","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Cascade; PID controller; Scheme (mathematics); Internal model; Control theory (sociology); Control (management); Computer science; Engineering; Control engineering; Mathematics; Artificial intelligence; Temperature control","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":[0.0002852763,0.0004043529,0.0005297107,0.0003183985,0.000563573,0.0004238967,0.0005692673,0.0003965693,0.006288957],"category_scores_gemma":[0.0003826576,0.0001516771,0.0003169224,0.0002224885,0.0003081274,0.0004951655,0.0004644005,0.0004278449,0.0005207889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003939801,"about_ca_system_score_gemma":0.0003775353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003908949,"about_ca_topic_score_gemma":0.003608407,"domain_scores_codex":[0.9998633,0.00002717411,0.000004878419,0.00003696485,0.00004645802,0.00002121151],"domain_scores_gemma":[0.9998477,0.00002907708,0.00001001391,0.00004663151,0.00005314943,0.00001344856],"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":[0.002505279,0.0003491874,0.002436848,0.0005369814,0.00007366305,0.0003886571,0.0003686482,0.5557432,0.2634436,0.02483708,0.006924414,0.1423924],"study_design_scores_gemma":[0.00006030812,0.0003265082,0.00180888,0.000008896111,0.00002133307,0.00003008298,0.00003193482,0.9622509,0.03043527,0.002376102,0.002624512,0.0000253081],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3479411,0.0002046106,0.6063504,0.0002116438,0.0002528413,0.0001857239,0.0004860034,0.004086886,0.04028073],"genre_scores_gemma":[0.9763032,0.00003268222,0.01851374,0.00001414299,0.00000583749,0.00005206403,0.0001173161,0.00005497054,0.004906106],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006288957,"threshold_uncertainty_score":0.02103859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009910991967169505,"score_gpt":0.2528411743527967,"score_spread":0.2429301823856272,"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."}}