{"id":"W4415533657","doi":"10.1016/j.jmbbm.2025.107245","title":"Modeling and optimization of cranial suture anisotropic material properties using a response surface methodology","year":2025,"lang":"en","type":"article","venue":"Journal of the mechanical behavior of biomedical materials/Journal of mechanical behavior of biomedical materials","topic":"Craniofacial Disorders and Treatments","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Transverse isotropy; Anisotropy; Isotropy; Material properties; Fibrous joint; Stiffness; Fiber; Ultimate tensile strength","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":[0.0005743584,0.000635181,0.0003484064,0.0004363808,0.0001226457,0.0005030804,0.0004604261,0.0006666741,0.0008334034],"category_scores_gemma":[0.0007168442,0.0003884734,0.0007507034,0.0002182793,0.0002462765,0.0002859157,0.0003086936,0.0003030136,0.0003252153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002172546,"about_ca_system_score_gemma":0.0005593717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001202861,"about_ca_topic_score_gemma":0.001270345,"domain_scores_codex":[0.9997672,0.00005860458,0.00001462391,0.00004349527,0.00009569732,0.00002027436],"domain_scores_gemma":[0.9997934,0.00008277028,0.00004372382,0.0000257836,0.00004821956,0.000006045283],"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":[0.00002236309,0.00005082066,0.0007241191,0.00006449749,0.00001754843,0.00005839662,0.00003234196,0.9362528,0.04895798,0.0008440711,0.0000720803,0.01290304],"study_design_scores_gemma":[0.000002454904,0.00004210522,0.0002005585,0.000003229941,0.000004557327,0.00001487117,0.000006576121,0.994037,0.005130178,0.0001475826,0.0004069913,0.00000388201],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1184126,0.0001478778,0.8783809,0.00005753413,0.00001621185,0.00008257763,0.0001018671,0.0003132499,0.002487083],"genre_scores_gemma":[0.7655707,0.0002993175,0.2314397,0.00003219798,0.000007130374,0.0002959123,0.0001904516,0.0001030395,0.002061521],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001202861,"threshold_uncertainty_score":0.003037572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03328955903462635,"score_gpt":0.307599912511605,"score_spread":0.2743103534769786,"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."}}