{"id":"W1984164080","doi":"10.1115/sbc2013-14034","title":"Incorporation of Stress-Dependency in the Modeling of Midpalatal Suture Behavior During Maxillary Expansion Treatment","year":2013,"lang":"en","type":"article","venue":"Volume 1B: Extremity; Fluid Mechanics; Gait; Growth, Remodeling, and Repair; Heart Valves; Injury Biomechanics; Mechanotransduction and Sub-Cellular Biophysics; MultiScale Biotransport; Muscle, Tendon and Ligament; Musculoskeletal Devices; Multiscale Mechanics; Thermal Medicine; Ocular Biomechanics; Pediatric Hemodynamics; Pericellular Phenomena; Tissue Mechanics; Biotransport Design and Devices; Spine; Stent Device Hemodynamics; Vascular Solid Mechanics; Student Paper and Design Competitions","topic":"Facial Trauma and Fracture Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Maxilla; Orthodontics; Stress (linguistics); Computer science; Fibrous joint; Dentistry; Medicine","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":["metaepi_narrow","sts","research_integrity"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.003388099,0.003154661,0.004126314,0.002334442,0.001398644,0.0003509348,0.0009690778,0.001893169,0.000099171],"category_scores_gemma":[0.00007046496,0.002762053,0.001439224,0.002431067,0.000328752,0.001378631,0.0004707624,0.001648983,0.00001153229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004830313,"about_ca_system_score_gemma":0.0003682186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001834887,"about_ca_topic_score_gemma":0.0002452624,"domain_scores_codex":[0.9848025,0.001193567,0.004702893,0.004238769,0.002745726,0.002316551],"domain_scores_gemma":[0.9933924,0.0002231739,0.001541127,0.002059854,0.001166355,0.001617057],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006671759,0.003749223,0.0001710295,0.005790288,0.001049686,0.0002570792,0.00228208,0.001360738,0.9662348,0.006076744,0.000003276314,0.01235788],"study_design_scores_gemma":[0.01020979,0.004918078,0.0008064949,0.001748006,0.005822402,0.0004193593,0.005824335,0.9313881,0.03224513,0.003199613,0.0001437752,0.00327493],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4924594,0.0122748,0.485348,0.0004924659,0.000864746,0.007846462,0.0003509049,0.0003525663,0.00001059438],"genre_scores_gemma":[0.9332231,0.04709535,0.01627186,0.0003777109,0.0005442443,0.0008110662,0.001186578,0.0004509313,0.00003912567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9339897,"threshold_uncertainty_score":0.9999014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0113257058114874,"score_gpt":0.2400676757310812,"score_spread":0.2287419699195938,"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."}}