{"id":"W1898990224","doi":"10.1016/j.jbiomech.2015.06.005","title":"Aging affects mechanical properties and lubricin/PRG4 gene expression in normal ligaments","year":2015,"lang":"en","type":"article","venue":"Journal of Biomechanics","topic":"Knee injuries and reconstruction techniques","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Alberta Bone and Joint Health Institute; University of British Columbia","funders":"Institute of Musculoskeletal Health and Arthritis; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Gene expression; Strain (injury); Matrix metalloproteinase; Ligament; Ultimate tensile strength; Glycosaminoglycan; Lysyl oxidase; Medicine; Receptor; Internal medicine; Endocrinology; Pathology; Gene; Extracellular matrix; Biology; Cell biology; Anatomy; Materials science; Biochemistry; Composite material","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":[0.0003136299,0.0002618745,0.0002591921,0.0004550341,0.0001953829,0.0002599073,0.000116311,0.0002974379,0.0008099465],"category_scores_gemma":[0.0003146863,0.0001783987,0.0003223323,0.0001763906,0.0004069344,0.0003764314,0.0002439861,0.0002575311,0.0001615987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002135261,"about_ca_system_score_gemma":0.0001526237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009096443,"about_ca_topic_score_gemma":0.001149977,"domain_scores_codex":[0.9998227,0.00001901172,0.00002571003,0.00005109531,0.00003550997,0.00004597602],"domain_scores_gemma":[0.9996473,0.00002194463,0.0001812336,0.00002851445,0.00005610967,0.00006494228],"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":[0.0003334712,0.00002926595,0.008191254,0.0000385006,0.000009482751,0.0001426103,0.0001242463,0.00001837354,0.989175,0.00004085439,0.00002680319,0.001870118],"study_design_scores_gemma":[0.00003312514,0.001707129,0.594543,0.00003548309,0.0001174206,0.001910233,0.0008010236,0.0008494456,0.3966115,0.0002607557,0.003106149,0.00002472163],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982047,0.0009158044,0.0005060199,0.00002583959,0.000008178382,0.000006188982,0.0001151769,0.00001059588,0.0002074984],"genre_scores_gemma":[0.9979024,0.0004584634,0.0004479813,0.00004101307,0.000005912321,0.0000229128,0.0002108827,0.000005137727,0.0009051969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009096443,"threshold_uncertainty_score":0.002709508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03564190345709495,"score_gpt":0.2734104108164825,"score_spread":0.2377685073593876,"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."}}