{"id":"W3094016060","doi":"10.1016/j.jmbbm.2020.104156","title":"A biomechanical study of clamping technique on patellar tendon surface strain and material properties using digital image correlation","year":2020,"lang":"en","type":"article","venue":"Journal of the mechanical behavior of biomedical materials/Journal of mechanical behavior of biomedical materials","topic":"Tendon Structure and Treatment","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alberta Bone and Joint Health Institute; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates; Alberta Innovates - Health Solutions","keywords":"Clamping; Tendon; Patella; Patellar tendon; Tibia; Anatomy; Strain (injury); Biomedical engineering; Materials science; Poisson's ratio; Medicine; Mathematics; Computer science; Poisson distribution","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":[0.0003762528,0.0002281262,0.0001772876,0.0004171684,0.0001771541,0.0001853885,0.0002824821,0.0003706563,0.001866552],"category_scores_gemma":[0.000749032,0.0002561427,0.0002343654,0.0003768927,0.000316685,0.0003091652,0.0001892659,0.0003120685,0.0001927697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001512625,"about_ca_system_score_gemma":0.0001998162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008959383,"about_ca_topic_score_gemma":0.001211564,"domain_scores_codex":[0.9997833,0.00002742299,0.00001185773,0.00005722816,0.0000898423,0.00003032084],"domain_scores_gemma":[0.9990626,0.0004467097,0.0001297799,0.00008715007,0.0002186294,0.0000550299],"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":[0.000357853,0.0001282855,0.002549791,0.00004498975,0.000008133343,0.0001033074,0.00008597567,0.0002014567,0.9822122,0.00007236647,0.00003794476,0.0141978],"study_design_scores_gemma":[0.00003219138,0.002266644,0.1593972,0.00002308738,0.0001038778,0.0009881647,0.0002241628,0.01111464,0.8248615,0.00006257346,0.0008857428,0.00004028347],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921662,0.0003281217,0.006696533,0.00001824711,0.00001838904,0.00001238742,0.00003428314,0.00002667055,0.0006991946],"genre_scores_gemma":[0.9961627,0.0001929701,0.00270665,0.00001821229,0.000009695696,0.000008968891,0.00002945426,0.000009073583,0.0008622934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001866552,"threshold_uncertainty_score":0.006244242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03790580719088968,"score_gpt":0.2870194350991867,"score_spread":0.249113627908297,"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."}}