{"id":"W3177158095","doi":"10.18280/mmep.080303","title":"A Finite Element Modeling and Simulation of Human Temporomandibular Joint with and Without TM Disorders: An Indian Experience","year":2021,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Temporomandibular Joint Disorders","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Department of Science and Technology, Ministry of Science and Technology, India","keywords":"Temporomandibular joint; Finite element method; Joint (building); Skull; von Mises yield criterion; Orthodontics; Mastication; Computer science; Human skull; Osteology; Population; Anatomy; Structural engineering; Engineering; Biology; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003932975,0.0004498659,0.0004014328,0.0008285859,0.0005226388,0.001008222,0.0009564547,0.001198071,0.0047768],"category_scores_gemma":[0.0009025498,0.0004453659,0.00098227,0.0007576871,0.0006327936,0.0003477721,0.0007838278,0.0004240131,0.0007830681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004685962,"about_ca_system_score_gemma":0.001067906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02196314,"about_ca_topic_score_gemma":0.01797232,"domain_scores_codex":[0.9998217,0.00003670968,0.00001845391,0.00002561319,0.00006878583,0.00002874328],"domain_scores_gemma":[0.9997073,0.0001620198,0.00002535536,0.0000306531,0.00005602946,0.00001861721],"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":[0.0001862665,0.0001797965,0.008226497,0.000267848,0.00005316387,0.0006765464,0.0009580394,0.9380766,0.009648972,0.004716664,0.002124261,0.03488537],"study_design_scores_gemma":[0.00001446125,0.00008331896,0.002677674,0.00004797408,0.00003455572,0.0003116386,0.0004896178,0.9873147,0.002487339,0.0009677164,0.005539954,0.00003094785],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6412216,0.001945677,0.3054115,0.001009919,0.0003309423,0.0003862678,0.002587472,0.001352323,0.04575435],"genre_scores_gemma":[0.9309628,0.0009819038,0.05524829,0.00009290389,0.00002232438,0.0001925538,0.001030464,0.0001579666,0.01131084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02196314,"threshold_uncertainty_score":0.04367059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05497467177856641,"score_gpt":0.3217486800531527,"score_spread":0.2667740082745862,"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."}}