{"id":"W2953663451","doi":"10.1007/s00791-019-00313-1","title":"Anelastic reorganisation of fibre-reinforced biological tissues","year":2019,"lang":"en","type":"article","venue":"Computing and Visualization in Science","topic":"Elasticity and Material Modeling","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Anisotropy; Isotropy; Context (archaeology); Materials science; Work (physics); Deformation (meteorology); Soft tissue; Internal forces; Mechanics; Structural engineering; Composite material; Geology; Physics; Mechanical engineering; Engineering; Medicine; Optics; Pathology","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":[],"consensus_categories":[],"category_scores_codex":[0.0002125872,0.00004029854,0.00007220245,0.00008421137,0.00003285436,0.00002420925,0.0000580718,0.00002519279,0.000009094266],"category_scores_gemma":[0.00007398958,0.00003750957,0.000004076438,0.0002668732,0.00006443944,0.00009919118,0.00003008437,0.00002195106,0.000004264011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001216328,"about_ca_system_score_gemma":0.000009252436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005141204,"about_ca_topic_score_gemma":2.214543e-7,"domain_scores_codex":[0.9995962,0.000008396637,0.0001425425,0.00009107545,0.0000736531,0.00008812608],"domain_scores_gemma":[0.9998382,0.00004590554,0.00002320185,0.00004312367,0.00003121857,0.00001831399],"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":[0.000002752146,0.000003161442,0.007299948,0.0000764385,7.545877e-7,1.57185e-7,0.001279576,0.5705674,0.4030401,0.01712301,0.000001506484,0.000605142],"study_design_scores_gemma":[0.00008613605,0.00003210278,0.005825287,0.00007123675,6.355684e-7,0.000001429504,0.00007569044,0.9627882,0.03093914,0.000122137,0.000007052897,0.00005090458],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8378385,0.00001689969,0.1617069,0.000001478753,0.0001765261,0.00004167003,2.471486e-7,0.00004751419,0.0001702557],"genre_scores_gemma":[0.9994057,0.00001092755,0.00055444,0.00000580545,0.00001346494,2.187876e-7,0.000001630317,0.00000286215,0.000004879428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3922208,"threshold_uncertainty_score":0.1529596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01788329790847162,"score_gpt":0.2824082533083798,"score_spread":0.2645249553999082,"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."}}