{"id":"W2093820413","doi":"10.1159/000209230","title":"Genipin Cross-Linked Fibrin Hydrogels for in vitro Human Articular Cartilage Tissue-Engineered Regeneration","year":2009,"lang":"en","type":"article","venue":"Cells Tissues Organs","topic":"Osteoarthritis Treatment and Mechanisms","field":"Medicine","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Ottawa Hospital; Queen's University; University of Ottawa","funders":"Ontario Centres of Excellence","keywords":"Genipin; Self-healing hydrogels; Extracellular matrix; Fibrin; Tissue engineering; Chemistry; Aggrecan; Viability assay; Regeneration (biology); Cartilage; Cell biology; Biomedical engineering; In vitro; Immunology; Anatomy; Chitosan; Biochemistry; Pathology; Articular cartilage; Osteoarthritis; Biology; Medicine; Polymer chemistry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001396499,0.0002599196,0.0004308826,0.0001425703,0.0001107767,0.00006195017,0.00008258605,0.0001897106,0.0001712581],"category_scores_gemma":[0.00002680995,0.0002629795,0.0001041817,0.000192902,0.00003299342,0.0001409918,0.00001374177,0.0001111312,0.0001047515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001074361,"about_ca_system_score_gemma":0.00003681137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001119958,"about_ca_topic_score_gemma":0.00002850846,"domain_scores_codex":[0.9984993,0.00002649583,0.0004114951,0.0004107625,0.0002044673,0.000447435],"domain_scores_gemma":[0.9992754,0.00002120217,0.0000677284,0.0003787399,0.00007919198,0.0001777294],"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":[0.0001109361,0.0001816472,0.00002892106,0.00003952721,0.000009217069,0.0001734796,0.0004880703,0.00003443482,0.9929895,0.0001984439,0.0002108576,0.00553501],"study_design_scores_gemma":[0.003984738,0.001249416,0.0001801406,0.00006417654,0.00008614032,0.0000271301,0.00003875965,0.00008956761,0.9848155,0.0003229956,0.008899301,0.0002421822],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947077,0.001227974,0.001305494,0.0005499364,0.0002052463,0.00141441,0.00003295478,0.0001701076,0.0003861888],"genre_scores_gemma":[0.9855043,0.0000324998,0.004508922,0.000158947,0.0003562939,0.00005952248,0.0005308586,0.00005083443,0.008797822],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009203387,"threshold_uncertainty_score":0.9999822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01422897608131349,"score_gpt":0.2815880833052561,"score_spread":0.2673591072239426,"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."}}