{"id":"W1533879219","doi":"10.23919/ecc.2003.7085047","title":"Vinnicombe metric as a closed-loop nonlinearity measure","year":2003,"lang":"en","type":"article","venue":"","topic":"Control Systems and Identification","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Measure (data warehouse); Nonlinear system; Metric (unit); Control theory (sociology); Representation (politics); Closed loop; Continuous stirred-tank reactor; Computer science; Nonlinear control; Loop (graph theory); Work (physics); Point (geometry); Mathematics; Mathematical optimization; Control (management); Control engineering; Engineering; Artificial intelligence; Physics; Data mining","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":[0.0002583238,0.00008890831,0.0001257753,0.0001008895,0.00003518862,0.00005413901,0.00007270552,0.0000651496,0.0003375101],"category_scores_gemma":[0.0001246936,0.0000817041,0.00005707481,0.0003596891,0.000005187922,0.00009344867,0.000004784411,0.00008974783,0.0005669171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004778778,"about_ca_system_score_gemma":0.00001549752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001591817,"about_ca_topic_score_gemma":0.000100164,"domain_scores_codex":[0.9993709,0.00002840505,0.0001827039,0.0001168232,0.0001557566,0.0001454461],"domain_scores_gemma":[0.9996065,0.00002413575,0.00001612525,0.0002336344,0.00006061252,0.00005897718],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004306329,0.0008280127,0.01731073,0.0007252943,0.001100373,0.00004176434,0.0008306799,0.01312124,0.3268178,0.2035624,0.1253646,0.310254],"study_design_scores_gemma":[0.003584084,0.0001112163,0.03649938,0.00006846734,0.000155743,0.00007917917,0.0003363359,0.1522578,0.05443046,0.002120897,0.7489303,0.001426153],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5158976,0.003827255,0.03588559,0.0001632326,0.001919457,0.0006492087,0.000007387753,0.001117303,0.440533],"genre_scores_gemma":[0.9953846,0.00001867854,0.0002853383,0.00002471981,0.00005766766,0.00001440308,0.00000309782,0.0000163512,0.004195116],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6235657,"threshold_uncertainty_score":0.7286761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009882414141374099,"score_gpt":0.2106844078263153,"score_spread":0.2008019936849412,"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."}}