{"id":"W3201870228","doi":"10.1016/j.compstruct.2021.114735","title":"Multi-axis stiffness and road contact characteristics of honeycomb wheels: A parametric analysis using Taguchi method","year":2021,"lang":"en","type":"article","venue":"Composite Structures","topic":"Mechanical Engineering and Vibrations Research","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Tread; Stiffness; Structural engineering; Taguchi methods; Parametric statistics; Orthogonal array; Finite element method; Design of experiments; Engineering; Materials science; Mathematics; Composite material","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":[0.0003917805,0.0002700339,0.0003304881,0.0006147036,0.0001989089,0.0003255392,0.0004404589,0.0004977343,0.0009124402],"category_scores_gemma":[0.0007230045,0.0002993582,0.0003825325,0.0005319759,0.0004648133,0.0004077303,0.0001951895,0.0001699168,0.0001488599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002193297,"about_ca_system_score_gemma":0.0001739194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009158389,"about_ca_topic_score_gemma":0.00205156,"domain_scores_codex":[0.9997486,0.00004870991,0.000009565489,0.00004168359,0.000118404,0.00003309358],"domain_scores_gemma":[0.9989458,0.0006573008,0.0001291551,0.0001024437,0.0001345925,0.00003077343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004592364,0.000191032,0.01060279,0.0001889247,0.00004596746,0.0003446724,0.0004399071,0.1672196,0.7896487,0.001057466,0.0001277523,0.02967395],"study_design_scores_gemma":[0.00001520285,0.0006735553,0.04436011,0.00001067256,0.00006195849,0.0002948856,0.0002890222,0.7196187,0.2337006,0.0003122255,0.0005945443,0.00006851106],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9780648,0.00006919265,0.02108038,0.000006917895,0.000002908486,0.000006958436,0.00003395888,0.00003411713,0.0007007169],"genre_scores_gemma":[0.9986539,0.00001306362,0.001116284,6.586152e-7,4.593265e-7,0.000002877103,0.00000835406,0.000002670261,0.0002016797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009158389,"threshold_uncertainty_score":0.003052354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02753025524290819,"score_gpt":0.3102271881542861,"score_spread":0.2826969329113779,"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."}}