{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003983511,0.000215376,0.0003929761,0.00009674944,0.0002722856,0.00002830916,0.00004531048,0.0001203725,0.00001296866],"category_scores_gemma":[0.00005242548,0.0001837471,0.00002064574,0.0001003506,0.0000557505,0.0001837482,0.00007693336,0.0002799518,6.294672e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000179537,"about_ca_system_score_gemma":0.0000277965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008521054,"about_ca_topic_score_gemma":0.00003813187,"domain_scores_codex":[0.9985047,0.00006133974,0.0005462862,0.0003585749,0.0002036363,0.0003254362],"domain_scores_gemma":[0.9993154,0.0001081814,0.0001061592,0.0002351376,0.00006515245,0.0001699183],"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":[0.000009243159,0.00006341511,0.001974734,0.001889646,0.00002739292,0.00000209054,0.02171151,0.9721858,0.0004631104,0.001606027,2.884263e-7,0.00006677469],"study_design_scores_gemma":[0.0007066151,0.0001371696,0.00007033032,0.001232761,0.00003014251,0.000005256426,0.002489019,0.9858295,0.00003596012,0.009216834,0.0000225139,0.0002238722],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5336804,0.0002133244,0.4656742,0.0000607424,0.000008967125,0.0002702214,0.000002097133,0.00005318502,0.0000368419],"genre_scores_gemma":[0.9670665,0.00008461908,0.0326533,0.0000151996,0.00001566988,0.00008409681,0.0000140667,0.00004350829,0.00002308759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4333861,"threshold_uncertainty_score":0.7492989,"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."}}