{"id":"W4389257736","doi":"10.1007/978-3-031-46866-7_4","title":"Data-Based Modelling for Control","year":2023,"lang":"en","type":"book-chapter","venue":"Synthesis lectures on mechanical engineering","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Robustness (evolution); Computer science; Control engineering; Automation; Control (management); Machine learning; Artificial intelligence; Control system; 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":[0.0004250768,0.001455816,0.001114905,0.0004528879,0.0003259752,0.002282735,0.001222772,0.0009823912,0.01831353],"category_scores_gemma":[0.0008841134,0.000671069,0.0007572749,0.0007636001,0.0009612307,0.002360214,0.001073957,0.001982144,0.0096984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008302037,"about_ca_system_score_gemma":0.0005057019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001905451,"about_ca_topic_score_gemma":0.00122299,"domain_scores_codex":[0.999657,0.0000581022,0.0000252534,0.00006736323,0.000173546,0.00001877635],"domain_scores_gemma":[0.9997429,0.0000981669,0.00001037992,0.00008421199,0.0000568154,0.000007461882],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005312007,0.00004102876,0.00008071313,0.0006889912,0.00004580546,0.00006677208,0.0001345158,0.07468887,0.006169857,0.5926132,0.05310858,0.2723086],"study_design_scores_gemma":[0.00001776352,0.0000381258,0.0001389627,0.000207089,0.00003093,0.00008270094,0.0000308723,0.2357432,0.004529978,0.4114418,0.3477058,0.0000328217],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0007092775,0.007032077,0.9332548,0.0007078338,0.0009445758,0.00003573072,0.0003997257,0.001632465,0.0552836],"genre_scores_gemma":[0.1548648,0.02294538,0.4478942,0.001345225,0.001366148,0.0005284635,0.002782573,0.002482007,0.3657912],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01831353,"threshold_uncertainty_score":0.06126487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03302932424845161,"score_gpt":0.2193180021647055,"score_spread":0.1862886779162539,"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."}}