{"id":"W2478243609","doi":"10.1109/iecon.1994.398125","title":"A state model for the drying paper in the paper product industry","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Polytechnique Montréal; Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Set (abstract data type); Representation (politics); State (computer science); Generator (circuit theory); Boundary (topology); Boundary value problem; Nonlinear system; Computer science; Partial differential equation; Differential equation; Mathematics; Applied mathematics; Mathematical optimization; Algorithm; Mathematical analysis; Power (physics); Programming language; Thermodynamics; Law; Physics","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":[0.0003451808,0.0006723531,0.0005893801,0.000346192,0.0004557542,0.001663989,0.001070033,0.001333632,0.007201993],"category_scores_gemma":[0.0006855018,0.0003060533,0.0007723251,0.0004141433,0.0006149093,0.001384338,0.0006978395,0.001305447,0.001573863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008429459,"about_ca_system_score_gemma":0.0008719895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00711258,"about_ca_topic_score_gemma":0.00461312,"domain_scores_codex":[0.9996901,0.00006054584,0.0000162792,0.00009393402,0.0001006871,0.00003846422],"domain_scores_gemma":[0.9997817,0.0000879775,0.00003654278,0.00002628421,0.00005379285,0.00001375849],"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":[0.00007629967,0.00009880363,0.0008584126,0.00008724181,0.00002155915,0.0002066167,0.0001611946,0.8394231,0.0051366,0.1363424,0.002141588,0.0154463],"study_design_scores_gemma":[0.00001518907,0.00003590535,0.0001625378,0.000007624092,0.00001099959,0.00002579183,0.00001374092,0.9813147,0.0007969799,0.01436366,0.003239484,0.00001336746],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01924725,0.000263282,0.9615456,0.0005174389,0.00008703159,0.00007369683,0.0004391548,0.0005761861,0.01725031],"genre_scores_gemma":[0.8840342,0.001035928,0.07084447,0.0002092867,0.0001385182,0.0006800654,0.001351903,0.0001277149,0.04157793],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007201993,"threshold_uncertainty_score":0.02409309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02184717313008466,"score_gpt":0.2174144409036603,"score_spread":0.1955672677735756,"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."}}