{"id":"W1543701597","doi":"","title":"Identification of paper machines cross-directional models in closed-loop","year":2013,"lang":"en","type":"article","venue":"International Conference on Modelling, Identification and Control","topic":"Control Systems and Identification","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Finite impulse response; Control theory (sociology); Impulse response; Computer science; Identification (biology); System identification; Actuator; Algorithm; Least-squares function approximation; Data modeling; Artificial intelligence; Mathematics; Statistics","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":[0.0003940363,0.000198796,0.0002462351,0.0003620097,0.00006581328,0.000368582,0.0002702051,0.0001214405,0.0003174311],"category_scores_gemma":[0.00003098083,0.000207846,0.00008010335,0.0001364813,0.00006798875,0.00097967,0.00001370414,0.0001698756,0.0001059687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000791902,"about_ca_system_score_gemma":0.00002527933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004263487,"about_ca_topic_score_gemma":0.00007977906,"domain_scores_codex":[0.9979751,0.0000541344,0.001018717,0.0003691752,0.0004065539,0.0001763789],"domain_scores_gemma":[0.9987159,0.00005723204,0.0002570764,0.0002856557,0.0006156009,0.0000685047],"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":[0.00007312446,0.0001683237,0.002451554,0.00007536669,0.0001250968,7.189026e-7,0.0003583507,0.5584404,0.3238667,0.0957542,0.0003478908,0.01833827],"study_design_scores_gemma":[0.0008376945,0.00001049422,0.01602835,0.00004265926,0.00001185535,0.000002199224,0.00004717957,0.9622305,0.001452419,0.01901152,0.0001461068,0.0001790124],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5192034,0.0003426455,0.4724396,0.0008127209,0.001554959,0.0008682915,0.00009802527,0.0001660131,0.004514393],"genre_scores_gemma":[0.9965529,0.0003013357,0.00007895316,0.0000444829,0.00009545918,0.0003234004,0.00006551595,0.00002452899,0.002513441],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4773495,"threshold_uncertainty_score":0.8475712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02096347421774628,"score_gpt":0.2533913003887819,"score_spread":0.2324278261710356,"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."}}