{"id":"W3196655630","doi":"10.3389/fbioe.2021.739438","title":"Mechano-Hypoxia Conditioning of Engineered Human Meniscus","year":2021,"lang":"en","type":"article","venue":"Frontiers in Bioengineering and Biotechnology","topic":"Knee injuries and reconstruction techniques","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Faculty of Medicine and Dentistry, University of Alberta; Natural Sciences and Engineering Research Council of Canada; Government of Alberta; Edmonton Civic Employees Charitable Assistance Fund; Integra LifeSciences; University of Alberta; Canadian Institutes of Health Research; Alberta Cancer Foundation","keywords":"Fibrocartilage; Extracellular matrix; Tissue engineering; Hypoxia (environmental); In vitro; Cell biology; Biomedical engineering; Chemistry; Meniscus; Chondrogenesis; Biophysics; Immunology; Molecular biology; Biology; Osteoarthritis; Biochemistry; Pathology; Medicine; Articular cartilage; Oxygen","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":[0.0001329982,0.0001855542,0.0001353117,0.00006894139,0.00008017978,0.0001162064,0.0000771528,0.0001381458,0.0008643175],"category_scores_gemma":[0.00007004248,0.00008299261,0.0001425524,0.00004732297,0.0001052781,0.00009689395,0.0001225463,0.0001893574,0.00009238799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001122533,"about_ca_system_score_gemma":0.0001065339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005192816,"about_ca_topic_score_gemma":0.001092267,"domain_scores_codex":[0.9999282,0.000009472253,0.000007972816,0.00001312191,0.00002211837,0.00001901738],"domain_scores_gemma":[0.9999584,0.000007872251,0.00001169437,0.000003441576,0.000008084015,0.00001048402],"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":[0.00005664346,0.00001942269,0.000112771,0.00002657942,0.000001415873,0.00002222162,0.00001462502,0.00005111185,0.9990081,0.00001918671,0.00001081244,0.0006570466],"study_design_scores_gemma":[0.00001006738,0.000450753,0.004956508,0.000005439489,0.000007454793,0.0001012208,0.00003095208,0.0003956716,0.9928718,0.00001369944,0.001153513,0.000002900048],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997829,0.0004216095,0.0009883018,0.00002749716,0.00001504733,0.00002926522,0.00008279971,0.00001126998,0.0005950758],"genre_scores_gemma":[0.9966334,0.0002967927,0.001557669,0.00004077369,0.000008283242,0.00006329925,0.0001598379,0.000003163263,0.001236833],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008643175,"threshold_uncertainty_score":0.002891481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005552873702570574,"score_gpt":0.2248660703395281,"score_spread":0.2193131966369576,"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."}}