{"id":"W4408548800","doi":"10.1080/10255842.2025.2472015","title":"Is a 3D representation of muscle architecture needed to model craniomaxillofacial skeletal mechanics?","year":2025,"lang":"en","type":"article","venue":"Computer Methods in Biomechanics & Biomedical Engineering","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre; Sunnybrook Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Representation (politics); Architecture; Computer science; Skeletal muscle; Medicine; Geography; Anatomy; Political science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000307741,0.00052092,0.0004522322,0.0004525235,0.0002478711,0.001342191,0.0009403846,0.001405008,0.001893283],"category_scores_gemma":[0.001498357,0.0006522295,0.0006263099,0.000384384,0.0007208384,0.001170412,0.0005349796,0.0005748991,0.001186251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003186952,"about_ca_system_score_gemma":0.0008365494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006117412,"about_ca_topic_score_gemma":0.007985562,"domain_scores_codex":[0.9998605,0.00002906592,0.000009431122,0.00002828383,0.00005912982,0.0000136029],"domain_scores_gemma":[0.9997891,0.00005552407,0.0000389995,0.00004790429,0.0000504978,0.00001796992],"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":[0.00008755203,0.0001404188,0.01055227,0.0005295419,0.0001312015,0.0006675479,0.0004754068,0.6791984,0.08459988,0.0512349,0.007592796,0.1647901],"study_design_scores_gemma":[0.00001778913,0.00006820641,0.004163468,0.0001159732,0.00004471359,0.0005700768,0.0002049643,0.9514488,0.004935605,0.01451132,0.0238653,0.00005376725],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06648509,0.001134942,0.9203404,0.001979795,0.0002043095,0.000103699,0.00129305,0.0008810213,0.007577721],"genre_scores_gemma":[0.6954896,0.00508361,0.2918919,0.0008309503,0.000127964,0.0004214525,0.001431959,0.0004100399,0.004312513],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006117412,"threshold_uncertainty_score":0.01216358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05397550222691014,"score_gpt":0.4128762470811565,"score_spread":0.3589007448542464,"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."}}