{"id":"W2085680844","doi":"10.1080/10255842.2010.550889","title":"Statistical finite element method for real-time tissue mechanics analysis","year":2011,"lang":"en","type":"article","venue":"Computer Methods in Biomechanics & Biomedical Engineering","topic":"Elasticity and Material Modeling","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Western University","funders":"","keywords":"Finite element method; Deformation (meteorology); Principal component analysis; Computer science; Field (mathematics); Function (biology); Constitutive equation; Algorithm; Mathematics; Artificial intelligence; Structural engineering; Materials science; Engineering","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"],"consensus_categories":[],"category_scores_codex":[0.002098885,0.0004163645,0.0008066452,0.001052544,0.00004844332,0.0000469131,0.000436578,0.0003504417,0.0002004327],"category_scores_gemma":[0.0001555766,0.000439973,0.0001598396,0.001317358,0.00001836286,0.00009807564,0.0001992523,0.0002743165,0.00001577603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001551847,"about_ca_system_score_gemma":0.00002466759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000401561,"about_ca_topic_score_gemma":0.000002481201,"domain_scores_codex":[0.9974071,0.0001351447,0.000879732,0.0005363349,0.0002697891,0.0007718363],"domain_scores_gemma":[0.9982265,0.0009280616,0.00006326123,0.0003882743,0.00006255024,0.0003313798],"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":[0.00004127119,0.0001608953,5.214697e-7,0.0005573884,0.0008673743,0.00004273268,0.0006351554,0.1535538,0.6627949,0.02929753,0.0001234008,0.151925],"study_design_scores_gemma":[0.0004212597,0.0001874638,0.00000419005,0.00005624567,0.0002661366,0.000004729633,0.000007845183,0.9549448,0.03647294,0.004753034,0.002417613,0.0004637729],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00026331,0.00005851077,0.9968966,0.00001213868,0.001645416,0.0003780323,0.0001218464,0.0005949046,0.00002921831],"genre_scores_gemma":[0.005645787,0.00008026631,0.9936568,0.00003431171,0.0002406761,0.0001140575,0.0001285847,0.00009286323,0.000006707195],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8013909,"threshold_uncertainty_score":0.9998052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02628420234271976,"score_gpt":0.3153550903417738,"score_spread":0.2890708879990541,"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."}}