{"id":"W4399922291","doi":"10.18280/mmep.110617","title":"Application of Grey-Taguchi Method Optimizes the Structural Friction Clutch Disc","year":2024,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Clutch; Taguchi methods; Materials science; Mechanical engineering; Structural engineering; Computer science; Engineering; Composite material","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001695197,0.0001457001,0.0001611104,0.00005775875,0.00005111787,0.00006492464,0.00007682728,0.00006186831,0.000004470486],"category_scores_gemma":[0.000012447,0.0001008889,0.00003962557,0.0001756018,0.00001693941,0.0001387283,0.00001874874,0.0001806373,0.000002392637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001555265,"about_ca_system_score_gemma":0.000003423688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004178412,"about_ca_topic_score_gemma":1.915477e-7,"domain_scores_codex":[0.9993339,0.000005897743,0.000251219,0.0001511664,0.0001066044,0.0001512065],"domain_scores_gemma":[0.9996468,0.0001467483,0.00001949029,0.0001269878,0.00002256349,0.00003740358],"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":[0.000001159558,0.000002708611,0.0000011469,0.001103004,0.00002441383,1.428714e-7,0.0006948904,0.9636271,0.0003291162,0.02848255,0.000003351312,0.005730397],"study_design_scores_gemma":[0.0000481092,0.00001232916,0.000001804408,0.0001659223,0.00002690469,0.00001345718,0.00002126295,0.9684588,0.0003254267,0.0306633,0.0001462534,0.0001163955],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003163368,0.002032396,0.9938511,0.00005052328,0.0001088037,0.0001606662,0.000003446311,0.0004321264,0.0001975167],"genre_scores_gemma":[0.721943,0.0002128572,0.2777002,0.000001951615,0.00003571694,0.00004228391,0.000005909352,0.00003778871,0.00002028797],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7187797,"threshold_uncertainty_score":0.4114131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01058374059081504,"score_gpt":0.2363628792743466,"score_spread":0.2257791386835316,"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."}}