{"id":"W4239392009","doi":"10.32920/14637915","title":"Control of the Metal Rolling Process: A Multidimensional System Approach","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Metallurgy and Material Forming","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control theory (sociology); Stability (learning theory); Process (computing); Differential (mechanical device); Lyapunov function; Control system; Mathematics; Computer science; Control (management); Engineering; Physics; Nonlinear system","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002294518,0.0006026186,0.0006378386,0.0003718405,0.0002720444,0.001055614,0.0005436098,0.0007591246,0.002036973],"category_scores_gemma":[0.0003719617,0.0002383419,0.0005328615,0.0003535744,0.0005219123,0.0005686368,0.000725193,0.0006132778,0.0002464964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005189313,"about_ca_system_score_gemma":0.0003275384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001970255,"about_ca_topic_score_gemma":0.001408893,"domain_scores_codex":[0.9998093,0.00005763661,0.00001024123,0.00005021941,0.00005539318,0.00001714326],"domain_scores_gemma":[0.9998943,0.00004033662,0.00002459608,0.00001013455,0.00002403917,0.000006644175],"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":[0.00005419543,0.00003284011,0.0002883588,0.0001969805,0.00006889745,0.000118876,0.000107223,0.9182611,0.01325699,0.04849283,0.0004700615,0.0186517],"study_design_scores_gemma":[0.000007199265,0.00003990792,0.00008181073,0.000008121818,0.00000784705,0.00001166694,0.000009194155,0.9930172,0.0005005354,0.005316444,0.0009935148,0.000006552455],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02523843,0.001774607,0.9635327,0.0003126341,0.0001411042,0.00003790993,0.00006186499,0.0001151416,0.008785664],"genre_scores_gemma":[0.9291108,0.002234756,0.06007979,0.0001346991,0.0002199313,0.0001794546,0.00008070652,0.00003357117,0.007926271],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002036973,"threshold_uncertainty_score":0.006814301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01028160310251433,"score_gpt":0.1957214899149981,"score_spread":0.1854398868124838,"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."}}