{"id":"W4291449836","doi":"10.3390/ma15165548","title":"Steady-State Thermal Analysis of Functionally Graded Rotating Disks Using Finite Element and Analytical Methods","year":2022,"lang":"en","type":"article","venue":"Materials","topic":"Composite Structure Analysis and Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Finite element method; Materials science; Gradation; Material properties; Parametric statistics; Rotational symmetry; Thermal; Stress (linguistics); Composite material; Mechanics; Structural engineering; Engineering; Physics; Mathematics; Computer science; Thermodynamics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004336188,0.0001018033,0.000334624,0.0002599022,0.00009910332,0.00004566825,0.00005958963,0.00001599144,0.001214991],"category_scores_gemma":[0.00001212068,0.0000972285,0.00007597558,0.0005187631,0.00001408255,0.00004732312,0.00007570656,0.00004482912,1.900463e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000421773,"about_ca_system_score_gemma":0.000006039435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005881142,"about_ca_topic_score_gemma":0.000007094764,"domain_scores_codex":[0.9990457,0.0001713944,0.0003705365,0.0001364416,0.0001563354,0.0001195915],"domain_scores_gemma":[0.9996581,0.0000760785,0.00008889575,0.0001202221,0.00002825475,0.00002842027],"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":[0.00001251103,0.000005346393,0.000904456,0.00001454417,0.0007223042,7.930253e-7,0.0002348262,0.7804517,0.2162871,0.00007128897,0.000001772575,0.001293348],"study_design_scores_gemma":[0.0001266504,0.00002042015,0.01197091,0.000002689139,0.001095746,0.000001033051,0.00007584422,0.9733616,0.0131389,0.00005206327,0.00004321667,0.0001109576],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9063153,0.00005487957,0.09327681,0.00000702506,0.0001124882,0.0000652149,0.00007426272,0.00002746732,0.00006660887],"genre_scores_gemma":[0.9779738,0.000005535568,0.02183669,0.00001292167,0.0000237823,0.00000818034,0.0001092087,0.0000137358,0.00001613722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2031482,"threshold_uncertainty_score":0.999698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0199197514819538,"score_gpt":0.2856742152839239,"score_spread":0.2657544638019701,"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."}}