{"id":"W4402435460","doi":"10.1016/j.compbiomed.2024.109125","title":"Finite element and experimental modeling of jaw movement-induced deformations in the human earcanal","year":2024,"lang":"en","type":"article","venue":"Computers in Biology and Medicine","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Finite element method; Condyle; Temporomandibular joint; Cantilever; Computer science; Motion (physics); Geometry; Structural engineering; Anatomy; Orthodontics; Mathematics; Engineering; Computer vision; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004294186,0.0002878233,0.0002665163,0.0004376188,0.0003019468,0.00050374,0.0009410242,0.001137646,0.003686676],"category_scores_gemma":[0.001315865,0.0004984696,0.000528465,0.0003350159,0.0008256264,0.0005567786,0.000348488,0.0003549148,0.0006078604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004896746,"about_ca_system_score_gemma":0.0007365956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003530222,"about_ca_topic_score_gemma":0.003451025,"domain_scores_codex":[0.9997469,0.00003721833,0.00001901989,0.00004025601,0.0001315224,0.00002503131],"domain_scores_gemma":[0.9995705,0.000233949,0.00003248756,0.00006726445,0.00007654126,0.00001924903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006150779,0.000439015,0.007734199,0.0002844073,0.00004004612,0.0004028728,0.0009302279,0.5388632,0.4032116,0.006347999,0.0008365407,0.04029483],"study_design_scores_gemma":[0.00003157693,0.0002300225,0.009936829,0.00002336028,0.00002406945,0.00034655,0.0002110185,0.9338956,0.05295695,0.0006707478,0.001635065,0.0000382207],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8944235,0.0002265719,0.1001558,0.0001765949,0.00005211834,0.0001002179,0.0004103422,0.0003446026,0.00411039],"genre_scores_gemma":[0.989211,0.00007758661,0.008922996,0.00001303585,0.000003816609,0.00004888666,0.0001538705,0.00002469386,0.001544174],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003686676,"threshold_uncertainty_score":0.01233315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04561430339527649,"score_gpt":0.344647942830104,"score_spread":0.2990336394348275,"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."}}