{"id":"W4317830809","doi":"10.1007/s10237-022-01675-1","title":"Estimation of anisotropic properties of CMR patient-specific left ventricle using the virtual field method","year":2023,"lang":"en","type":"article","venue":"Biomechanics and Modeling in Mechanobiology","topic":"Elasticity and Material Modeling","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"Polytechnique Montréal","keywords":"Isotropy; Anisotropy; Stiffness; Ventricle; Finite element method; Magnetic resonance imaging; Materials science; Structural engineering; Medicine; Radiology; Cardiology; Physics; Composite material; Optics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002021656,0.00009270513,0.0001907911,0.0001704906,0.0000394071,0.000006743944,0.00008284103,0.0001145801,0.000009636631],"category_scores_gemma":[0.00003548565,0.00007267364,0.0000269243,0.0001685079,0.00001239593,0.00003607926,0.00006957028,0.00007000308,8.882042e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001480302,"about_ca_system_score_gemma":0.00001057328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004638039,"about_ca_topic_score_gemma":0.000005398278,"domain_scores_codex":[0.999303,0.00004389879,0.0003051436,0.0001245383,0.00005778481,0.000165598],"domain_scores_gemma":[0.9997437,0.00005862372,0.00004576481,0.0001071823,0.00002868056,0.00001604409],"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":[0.00001289037,0.000005442771,2.852588e-7,0.00004494025,0.000007061536,3.762448e-7,0.0003320598,0.428978,0.5597838,0.002081611,0.000002508654,0.008751082],"study_design_scores_gemma":[0.00009198712,0.0000849908,8.7716e-8,0.00006439571,0.000005695389,0.000002920682,0.0002349494,0.728161,0.2691032,0.002183553,0.00001291839,0.00005428949],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5792301,0.0001669182,0.420247,0.000009717682,0.0002222051,0.00008017715,0.00001378907,0.00002839184,0.000001710277],"genre_scores_gemma":[0.9943784,0.0002776509,0.005288398,0.00000996991,0.00001576391,0.000006461428,0.000009195001,0.00001298658,0.000001099352],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4151483,"threshold_uncertainty_score":0.2963545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04884674262670825,"score_gpt":0.2526902740098003,"score_spread":0.2038435313830921,"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."}}