{"id":"W2733676738","doi":"10.1002/jor.23645","title":"Impact insertion of osteochondral grafts: Interference fit and central graft reduction affect biomechanics and cartilage damage","year":2017,"lang":"en","type":"article","venue":"Journal of Orthopaedic Research®","topic":"Osteoarthritis Treatment and Mechanisms","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Institute on Aging; National Institutes of Health; National Yang-Ming University; Ontario Council on Graduate Studies, Council of Ontario Universities","keywords":"Biomechanics; Reduction (mathematics); Cartilage; Interference (communication); Interference fit; Cartilage damage; Affect (linguistics); Biomedical engineering; Medicine; Orthodontics; Materials science; Articular cartilage; Anatomy; Engineering; Osteoarthritis; Composite material; Psychology; Pathology; Telecommunications; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002376496,0.0006130414,0.0003048091,0.0003264193,0.0001294198,0.0002409551,0.0002343424,0.0004547173,0.0009751953],"category_scores_gemma":[0.000425119,0.0002483255,0.0002969497,0.0002100619,0.0005391547,0.0002623523,0.0004171563,0.0002830523,0.0001393803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002432799,"about_ca_system_score_gemma":0.0002154768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007991582,"about_ca_topic_score_gemma":0.001444829,"domain_scores_codex":[0.9994942,0.00004516352,0.00003191432,0.00008615306,0.0002684523,0.0000741038],"domain_scores_gemma":[0.9995999,0.00006886508,0.0001884167,0.00002982232,0.00005045552,0.00006261052],"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":[0.0001443871,0.00002432948,0.001145473,0.00003365416,0.000004833263,0.00006884763,0.00001551034,0.00007384117,0.9973729,0.000008840307,0.000003845495,0.001103566],"study_design_scores_gemma":[0.00002154559,0.003475339,0.08977856,0.00001500225,0.00006838951,0.001556813,0.0001416187,0.00171262,0.902406,0.00003724217,0.0007673464,0.00001954659],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985428,0.0004310827,0.000837581,0.000005920749,0.000003806062,0.000009468173,0.00001874149,0.00001085989,0.0001396896],"genre_scores_gemma":[0.9978654,0.0002045521,0.001507113,0.00002006444,0.000002974218,0.000009949816,0.00006840701,0.000007222048,0.0003143009],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009751953,"threshold_uncertainty_score":0.003262341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06634108045716428,"score_gpt":0.385384539455097,"score_spread":0.3190434589979327,"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."}}