{"id":"W4248700502","doi":"10.32920/ryerson.14663346.v1","title":"Ratcheting response of biological tissues over asymmetric loading cycles","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Elasticity and Material Modeling","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Dissipation; Strain (injury); Materials science; Stiffness; Parametric statistics; Articular cartilage; Modulus; Stress (linguistics); Viscoelasticity; Structural engineering; Mechanics; Composite material; Anatomy; Mathematics; Thermodynamics; Engineering; Biology; Physics; Osteoarthritis","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":[0.0004071362,0.0002137044,0.0004255857,0.000194914,0.00002643921,0.00006645623,0.0001698755,0.0003720263,0.0001838986],"category_scores_gemma":[0.00040575,0.0001988559,0.0001096844,0.0001508714,0.00002708591,0.00004489969,0.0004118597,0.0003093278,0.000008466076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000501279,"about_ca_system_score_gemma":0.00002562705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008114226,"about_ca_topic_score_gemma":0.000004945232,"domain_scores_codex":[0.9989237,0.00009899292,0.0003886276,0.0002517727,0.0001222065,0.0002147558],"domain_scores_gemma":[0.9992766,0.0003430441,0.00005747732,0.0002207219,0.00005084301,0.00005127828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001484005,0.00004741928,0.00152791,0.001021206,0.0002027076,0.0000329053,0.0007414733,0.2635102,0.7309775,0.0002784592,0.0001294713,0.00138237],"study_design_scores_gemma":[0.0002889255,0.00005731012,0.007830882,0.001145566,0.00006656236,0.00000827337,0.0004688804,0.07514424,0.9136169,0.0004153958,0.0002040952,0.0007529889],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9626343,0.0007363377,0.03423272,0.00001212511,0.000786754,0.00009347939,0.00001184803,0.0003078702,0.001184542],"genre_scores_gemma":[0.988801,0.0002963747,0.01067577,0.00001044606,0.0001209787,0.000008660224,0.00001931403,0.00002908464,0.0000383694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1883659,"threshold_uncertainty_score":0.8109106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03553387498415207,"score_gpt":0.2665770657821089,"score_spread":0.2310431907979569,"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."}}