{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007488138,0.000110753,0.0003694333,0.0004600415,0.00003029271,0.000005198643,0.00004381975,0.0003256821,0.00001715905],"category_scores_gemma":[0.00003375738,0.0001043982,0.00005127411,0.0003098909,0.0001473572,0.00002613204,0.00003956498,0.0002365922,2.715039e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003177843,"about_ca_system_score_gemma":0.00002145237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007526755,"about_ca_topic_score_gemma":0.000001321357,"domain_scores_codex":[0.9993021,0.00000720432,0.0002719956,0.0001895155,0.00005952405,0.0001696525],"domain_scores_gemma":[0.9996994,0.000006611746,0.00004726829,0.0001718251,0.00003670775,0.00003820947],"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":[0.00001781545,0.0000530674,0.003894695,0.000257313,0.00009808816,0.00007405008,0.00005815573,0.00002077017,0.9636574,0.01260127,0.0009165285,0.01835079],"study_design_scores_gemma":[0.0005798404,0.0001734678,0.00133604,0.0001621931,0.00003067582,0.0003620383,0.0004670406,0.0006604955,0.9907621,0.001342898,0.003986054,0.0001371286],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9273173,0.003144964,0.06664371,0.001472192,0.000605109,0.000160434,0.00001579197,0.0003871811,0.0002533037],"genre_scores_gemma":[0.9189186,0.0005919018,0.08027595,0.00002045614,0.00002666046,0.000008946126,0.00001715512,0.00001334409,0.0001269571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02710468,"threshold_uncertainty_score":0.4257236,"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."}}