{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003675843,0.0005650013,0.0004016016,0.0004847037,0.0004715046,0.0008927189,0.0009100647,0.001967042,0.00275153],"category_scores_gemma":[0.001140599,0.000511341,0.0007798318,0.0002985963,0.0005604422,0.0005820312,0.0004481398,0.0006036127,0.0003741568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005785594,"about_ca_system_score_gemma":0.0009316662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007192208,"about_ca_topic_score_gemma":0.00571233,"domain_scores_codex":[0.9998479,0.00002920364,0.00001024235,0.0000263231,0.00005402293,0.000032261],"domain_scores_gemma":[0.9996592,0.0001772941,0.00005692942,0.00002735309,0.00005188814,0.00002736259],"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":[0.00004285862,0.00009378688,0.001816267,0.00004761204,0.0000091904,0.0001991949,0.0001088778,0.9840723,0.007090726,0.001431922,0.0003255443,0.004761778],"study_design_scores_gemma":[0.000002307159,0.00001372677,0.0002919533,0.000004237133,0.000001847217,0.00001460645,0.00001447397,0.9988719,0.0004351324,0.0001125498,0.0002330789,0.000004221854],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7544369,0.001381272,0.2023682,0.001003534,0.0003110939,0.0002773599,0.0008218496,0.0006011029,0.03879889],"genre_scores_gemma":[0.9849775,0.0003693462,0.01062181,0.00005245463,0.00002346543,0.00009919758,0.0001112077,0.00007159339,0.003673425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007192208,"threshold_uncertainty_score":0.01430064,"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."}}