{"id":"W2053870646","doi":"10.1177/1081286513515265","title":"Remodelling in statistically oriented fibre-reinforced materials and biological tissues","year":2014,"lang":"en","type":"article","venue":"Mathematics and Mechanics of Solids","topic":"Elasticity and Material Modeling","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Composite number; Probability distribution; Composite material; Probability density function; Articular cartilage; Matrix (chemical analysis); Orientation (vector space); Distribution (mathematics); Dissipation; Mechanics; Structural engineering; Mathematics; Mathematical analysis; Physics; Geometry; Engineering; Statistics","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":[0.0006650289,0.0004714711,0.0005174878,0.0007618393,0.0005432242,0.0009870558,0.0009033238,0.001966513,0.00190024],"category_scores_gemma":[0.001768306,0.0004891204,0.0009592208,0.0004712518,0.002112379,0.001199717,0.0007853294,0.000566926,0.0002620829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008774248,"about_ca_system_score_gemma":0.0005614234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003015925,"about_ca_topic_score_gemma":0.001856052,"domain_scores_codex":[0.9997696,0.00008173167,0.00001041755,0.00003580873,0.00006227003,0.00004021491],"domain_scores_gemma":[0.9992487,0.000352793,0.0002280331,0.00005075379,0.00004914504,0.00007057475],"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":[0.00002514791,0.0000305055,0.000559251,0.00004066296,0.00001601382,0.0001508365,0.00005572101,0.9457436,0.004012843,0.0479008,0.0001880115,0.001276456],"study_design_scores_gemma":[0.00002454108,0.00004053115,0.0003823137,0.000008992816,0.000006324811,0.00008128738,0.00002239207,0.9788464,0.0004805648,0.01961203,0.0004819601,0.00001261551],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5161729,0.001826554,0.459502,0.001658675,0.0001800843,0.00009998706,0.0001872039,0.0002282638,0.02014429],"genre_scores_gemma":[0.9659377,0.0006607642,0.02482401,0.0002280563,0.00004353249,0.0001374252,0.00008131892,0.00005645764,0.008030736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003015925,"threshold_uncertainty_score":0.006366193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01661964530080141,"score_gpt":0.2223183360304,"score_spread":0.2056986907295986,"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."}}