{"id":"W2092353321","doi":"10.1299/jamdsm.5.329","title":"Web Tension and Velocity Control of Two-Span Roll-to-Roll System for Printed Electronics","year":2011,"lang":"en","type":"article","venue":"Journal of Advanced Mechanical Design Systems and Manufacturing","topic":"Vibration and Dynamic Analysis","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Ministry of Knowledge Economy","keywords":"Backstepping; Controller (irrigation); MATLAB; Electronics; Control theory (sociology); Nonlinear system; Control engineering; Engineering; Reliability (semiconductor); Genetic algorithm; Control system; Computer science; Control (management); Adaptive control; Artificial intelligence; Electrical 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005713735,0.0001641061,0.000582929,0.0001577527,0.00005296797,0.00002246337,0.00008929697,0.0000824764,0.000001730217],"category_scores_gemma":[0.00003878405,0.0001296443,0.0001018954,0.00005448937,0.000009999995,0.0001592964,0.00001724916,0.0001474609,4.286782e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007967275,"about_ca_system_score_gemma":0.00002380219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004563223,"about_ca_topic_score_gemma":0.000004010429,"domain_scores_codex":[0.99878,0.000056409,0.0006491609,0.0001393891,0.0001623897,0.0002126704],"domain_scores_gemma":[0.9991986,0.0001104157,0.000267951,0.0001137694,0.0001262976,0.0001829586],"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":[0.001058456,0.00004720444,0.00001847398,0.0009549064,0.0005877172,0.00001951411,0.0002908021,0.5801773,0.4036957,0.004088413,0.0000274548,0.009034035],"study_design_scores_gemma":[0.002965147,0.000533428,0.00007685947,0.0003693406,0.0001836654,0.0001315819,0.000378806,0.8721437,0.1223461,0.0004190103,0.0002568247,0.0001955239],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07976185,0.0005798992,0.9189409,0.00001062619,0.0002249641,0.0003942719,0.000005669307,0.00003772304,0.00004409972],"genre_scores_gemma":[0.9826168,0.0001245877,0.0171391,0.00001286034,0.00005211171,0.00001155268,4.376702e-7,0.00002362644,0.00001892422],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.902855,"threshold_uncertainty_score":0.5286739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01413552343451941,"score_gpt":0.2161293328178671,"score_spread":0.2019938093833477,"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."}}