{"id":"W2063627719","doi":"10.1115/1.2898732","title":"Ageing Changes in the Tensile Properties of Tendons: Influence of Collagen Fibril Volume Fraction","year":2008,"lang":"en","type":"article","venue":"Journal of Biomechanical Engineering","topic":"Tendon Structure and Treatment","field":"Medicine","cited_by":110,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"European Commission; University of Stirling; Wellcome Trust","keywords":"Fibril; Ageing; Volume fraction; Ultimate tensile strength; Collagen fibril; Tendon; Transmission electron microscopy; Chemistry; Stiffness; Materials science; Extracellular matrix; Composite material; Biophysics; Anatomy; Biology; Medicine; Internal medicine; Nanotechnology; Biochemistry","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":[0.0001720037,0.00008748401,0.0003437106,0.0002040425,0.00001594137,0.000002785661,0.00007446422,0.00005676676,0.000006047243],"category_scores_gemma":[0.0001835588,0.00005070663,0.00008682897,0.0002849455,0.00002660615,0.00007212231,0.00001644633,0.0001197934,5.573732e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004494515,"about_ca_system_score_gemma":0.00004492332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003781104,"about_ca_topic_score_gemma":0.000002668273,"domain_scores_codex":[0.999145,0.00001695455,0.000376336,0.00006259444,0.0002856701,0.0001133886],"domain_scores_gemma":[0.9994597,0.00004570436,0.0002030705,0.00011316,0.0001351593,0.00004317429],"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":[0.0001053377,0.00006813319,0.0008037084,0.0001159025,0.00007642706,0.0002730127,0.0003587608,0.001143759,0.996016,0.0000137982,0.0000197687,0.001005392],"study_design_scores_gemma":[0.001540348,0.001349821,0.07397353,0.0009911783,0.0001411433,0.002934707,0.0003796621,0.001550246,0.9162749,0.0000242403,0.0007354122,0.0001048021],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983332,0.0008562982,0.0002247949,0.0003851337,0.00006183987,0.0001216806,0.000001837929,0.000006424894,0.000008825225],"genre_scores_gemma":[0.9987906,0.0002179812,0.0008461039,0.00004048302,0.00008140146,0.000002598293,3.880945e-7,0.00000850408,0.00001189697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07974109,"threshold_uncertainty_score":0.2067756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01988485291966406,"score_gpt":0.2271375048681305,"score_spread":0.2072526519484665,"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."}}