{"id":"W2161313794","doi":"","title":"Finite element analysis of the human mandible to assess the effect of removing an impacted third molar.","year":2010,"lang":"en","type":"article","venue":"PubMed","topic":"Facial Trauma and Fracture Management","field":"Medicine","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Molar; Mandible (arthropod mouthpart); Finite element method; Stress (linguistics); Cone beam computed tomography; Dentistry; Orthodontics; Fracture (geology); Materials science; Medicine; Computed tomography; Surgery; Composite material; Structural engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001449836,0.0001224361,0.0003626392,0.0002163716,0.0001104587,0.00002212466,0.0002776997,0.00005513102,0.00006815333],"category_scores_gemma":[0.0003718949,0.00005950755,0.00021689,0.0008583539,0.00005714897,0.0000445934,0.00009483375,0.0002698012,0.000001090531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002699477,"about_ca_system_score_gemma":0.000008732113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002876833,"about_ca_topic_score_gemma":0.0005466139,"domain_scores_codex":[0.9987645,0.0001477359,0.0002841349,0.0001738888,0.0003786894,0.0002510071],"domain_scores_gemma":[0.9987671,0.0001744203,0.0001515131,0.0007372756,0.00006056959,0.0001091145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002545896,0.000225552,0.9221666,0.0001722123,0.002293778,0.000006357872,0.0009045192,0.0007883045,0.0224587,0.0003971045,0.0004454912,0.04988672],"study_design_scores_gemma":[0.0004895651,0.0001621513,0.972079,0.000009586257,0.001735157,4.967965e-7,0.00006551816,0.000357077,0.02334724,0.00001734127,0.001675747,0.00006109485],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926211,0.000009725952,0.0002107453,0.0006791964,0.0001632216,0.001365948,0.00001058457,0.00002004898,0.004919483],"genre_scores_gemma":[0.9990614,0.000001161368,0.00005537004,0.000279235,0.00006452992,0.0001850908,0.00001561161,0.00001043651,0.0003271639],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04991236,"threshold_uncertainty_score":0.2426647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02766236742352162,"score_gpt":0.2958975728665857,"score_spread":0.2682352054430641,"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."}}