{"id":"W2907203988","doi":"10.1007/s00784-018-2766-6","title":"Dental malocclusions are not just about small and weak bones: assessing the morphology of the mandible with cross-section analysis and geometric morphometrics","year":2019,"lang":"en","type":"article","venue":"Clinical Oral Investigations","topic":"Temporomandibular Joint Disorders","field":"Health Professions","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fondo de Fomento al Desarrollo Científico y Tecnológico; Fondo Nacional de Desarrollo Científico y Tecnológico; Comisión Nacional de Investigación Científica y Tecnológica; Max-Planck-Institut für Evolutionäre Anthropologie; Universidade do Porto; Universidad de Chile; Max-Planck-Gesellschaft; York University; Johns Hopkins University","keywords":"Masticatory force; Morphometrics; Occlusion; Orthodontics; Malocclusion; Dentistry; Mandible (arthropod mouthpart); Medicine; Biology; Surgery; Genus","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001869021,0.0002009952,0.0005836111,0.0006440065,0.001370595,0.00007023518,0.0002751863,0.0003584636,0.0001611667],"category_scores_gemma":[0.002660327,0.0001174441,0.0001740188,0.004833034,0.001343403,0.000221831,0.0004370933,0.001093227,0.00003058106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006115461,"about_ca_system_score_gemma":0.0002528178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008973011,"about_ca_topic_score_gemma":0.002911407,"domain_scores_codex":[0.9968238,0.0009499689,0.001077122,0.0004782952,0.0003101282,0.000360666],"domain_scores_gemma":[0.9947399,0.003165757,0.0009783442,0.0006447322,0.0002643253,0.0002069171],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002625671,0.00008446481,0.9981206,0.00007462485,0.0001786078,0.000001355914,0.0001500394,0.0001692106,0.0001173554,0.0002980076,0.0007256409,0.00005385014],"study_design_scores_gemma":[0.001097181,0.000127616,0.9934323,0.0001013482,0.0005925797,0.000008367252,0.00228545,0.0009286231,0.00002582879,0.0001906123,0.001062709,0.0001473608],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932895,0.0002601506,0.001523082,0.002978131,0.0005689723,0.0008937943,0.0000874978,0.00004725532,0.0003516555],"genre_scores_gemma":[0.9942181,0.0001167806,0.003113555,0.001277705,0.00007603912,0.00004778448,0.00004531863,0.00002667885,0.001078009],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004688262,"threshold_uncertainty_score":0.9999295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1426067429369215,"score_gpt":0.4491311288059716,"score_spread":0.3065243858690501,"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."}}