{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001502876,0.0009809607,0.001076373,0.001286664,0.0004244128,0.0008648163,0.001839123,0.001207021,0.01281612],"category_scores_gemma":[0.003179452,0.0006299642,0.001044377,0.001349794,0.0005496879,0.0006846103,0.001082453,0.002068116,0.005911534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005106379,"about_ca_system_score_gemma":0.001527461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001574774,"about_ca_topic_score_gemma":0.002116734,"domain_scores_codex":[0.9990397,0.0003207973,0.00005501956,0.00007448813,0.0004797224,0.00003022432],"domain_scores_gemma":[0.9982413,0.0009707272,0.0001211589,0.0001983218,0.000422991,0.0000455189],"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":[0.0001098924,0.0001074946,0.0009574338,0.0007786524,0.0002583995,0.0002282169,0.0001604048,0.4256035,0.01948757,0.1136922,0.0335364,0.4050798],"study_design_scores_gemma":[0.00003458426,0.00003318291,0.0002546151,0.00004910162,0.00002236824,0.0001396156,0.00001430132,0.9316102,0.002243171,0.02158462,0.04397723,0.00003701439],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0002482458,0.0002765661,0.9975476,0.00007696402,0.00006084559,0.00004799993,0.0001090238,0.0006961151,0.0009366512],"genre_scores_gemma":[0.02483675,0.000600583,0.9680048,0.000122621,0.00009933247,0.0009890974,0.0005778718,0.000518854,0.004250002],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01281612,"threshold_uncertainty_score":0.04287422,"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."}}