{"id":"W1986829128","doi":"10.1115/1.4023520","title":"Combined in Vivo/in Vitro Method to Study Anteriomedial Bundle Strain in the Anterior Cruciate Ligament Using a Dynamic Knee Simulator","year":2013,"lang":"en","type":"article","venue":"Journal of Biomechanical Engineering","topic":"Knee injuries and reconstruction techniques","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Anterior cruciate ligament; Kinematics; Sagittal plane; Knee Joint; Biomechanics; Cadaver; Simulation; Ankle; Motion capture; Jump; Computer science; Medicine; Anatomy; Physics; Motion (physics); Surgery","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":[0.0007214487,0.0008019467,0.0003797172,0.0004693128,0.0002137927,0.0003710975,0.0005891658,0.0005193227,0.001573195],"category_scores_gemma":[0.0004425248,0.0004444126,0.0003889848,0.0002686091,0.0003443435,0.0002440908,0.0005867564,0.0006569329,0.0005177006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001846931,"about_ca_system_score_gemma":0.0002616691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006914752,"about_ca_topic_score_gemma":0.001311286,"domain_scores_codex":[0.9992599,0.000185721,0.0000711778,0.0001549101,0.0002644135,0.00006372887],"domain_scores_gemma":[0.9993564,0.000222597,0.00009759436,0.0001463548,0.0001047782,0.00007217945],"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":[0.00002484414,0.00006016265,0.0003407596,0.0000202368,0.000005224676,0.0000236167,0.00001992499,0.000164261,0.9983014,0.00002058508,0.000007942352,0.001010922],"study_design_scores_gemma":[0.00002773209,0.002091597,0.007036306,0.000008126719,0.00005396796,0.0003674518,0.00006593735,0.006464721,0.9825744,0.00004200677,0.001251435,0.00001638116],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7741646,0.0007840132,0.2222639,0.00007488847,0.00009629938,0.0002167408,0.0003642847,0.00027639,0.001758802],"genre_scores_gemma":[0.8502982,0.001059633,0.1436885,0.0001115285,0.0000655191,0.0004575537,0.0007055127,0.00008499786,0.003528487],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001573195,"threshold_uncertainty_score":0.005262911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01081882416928983,"score_gpt":0.3047354153538135,"score_spread":0.2939165911845237,"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."}}