{"id":"W2005149654","doi":"10.1186/1471-2474-14-353","title":"Matrix forming characteristics of inner and outer human meniscus cells on 3D collagen scaffolds under normal and low oxygen tensions","year":2013,"lang":"en","type":"article","venue":"BMC Musculoskeletal Disorders","topic":"Knee injuries and reconstruction techniques","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Canadian Institutes of Health Research; University of Alberta; Integra LifeSciences","keywords":"Aggrecan; Oxygen tension; Extracellular matrix; Meniscus; Cartilage; Cell biology; Type I collagen; Matrix (chemical analysis); Glycosaminoglycan; Chemistry; Type II collagen; Tissue engineering; Anatomy; Osteoarthritis; Pathology; Biomedical engineering; Medicine; Biology; Biochemistry; Oxygen; Articular cartilage","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":[0.0001397959,0.000158068,0.00008118133,0.0001398789,0.0001123009,0.000198892,0.0000674594,0.0001296551,0.0007333638],"category_scores_gemma":[0.00009545113,0.00007077958,0.0001069579,0.0001063433,0.0001596071,0.0001050548,0.0001145768,0.0001113233,0.0001200068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001087541,"about_ca_system_score_gemma":0.0001019478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001756268,"about_ca_topic_score_gemma":0.002168161,"domain_scores_codex":[0.9999146,0.00000915935,0.000008485545,0.00001834159,0.0000304716,0.00001885655],"domain_scores_gemma":[0.9998739,0.00003157074,0.00002575223,0.00001183772,0.00002887774,0.00002812774],"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":[0.00005703306,0.000006706804,0.0005766313,0.0000175649,0.000001684931,0.00004576255,0.00007348754,0.00003939707,0.9988219,0.00001864838,0.000007455797,0.0003337165],"study_design_scores_gemma":[0.00001852401,0.0004169797,0.05319262,0.00001704537,0.00002952798,0.0004806342,0.0002858465,0.001416165,0.9417019,0.00004048262,0.002389898,0.00001041602],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982755,0.0002754306,0.0004942283,0.00001213447,0.000004780657,0.000008528883,0.000120361,0.000007391134,0.0008017249],"genre_scores_gemma":[0.9975497,0.0002261943,0.0009248866,0.00001899823,0.000005033434,0.00001933287,0.0003599502,0.000004756179,0.0008913194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001756268,"threshold_uncertainty_score":0.003492057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008064810605595453,"score_gpt":0.2621017319076652,"score_spread":0.2540369213020697,"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."}}