{"id":"W2155852753","doi":"10.1006/abio.2001.5436","title":"A Multivalent Assay to Detect Glycosaminoglycan, Protein, Collagen, RNA, and DNA Content in Milligram Samples of Cartilage or Hydrogel-Based Repair Cartilage","year":2002,"lang":"en","type":"article","venue":"Analytical Biochemistry","topic":"Osteoarthritis Treatment and Mechanisms","field":"Medicine","cited_by":161,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique; Polytechnique Montréal","funders":"Canadian Arthritis Network; Guangdong Industry Technical College; Toyota Research Institute, North America","keywords":"Cartilage; Papain; Glycosaminoglycan; Extracellular matrix; Chemistry; Proteoglycan; Guanidine; DNA; Biochemistry; RNA; Matrix (chemical analysis); Aggrecan; Messenger RNA; Molecular biology; Cell biology; Chromatography; Biology; Enzyme; Osteoarthritis; Anatomy; Gene","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":[0.0008428158,0.001415251,0.0006109247,0.001599623,0.000431181,0.000558233,0.0009646293,0.0009675781,0.002214246],"category_scores_gemma":[0.0007526923,0.0005338829,0.0004325265,0.0006276186,0.0005918468,0.0005262097,0.000751836,0.001468661,0.001292076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004924308,"about_ca_system_score_gemma":0.00044163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003271174,"about_ca_topic_score_gemma":0.0009169377,"domain_scores_codex":[0.9992052,0.0001229061,0.00005122388,0.0003535623,0.0001953976,0.00007180282],"domain_scores_gemma":[0.9988894,0.0004173408,0.0001922026,0.0001455621,0.0001554515,0.0002001958],"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":[0.00005830321,0.00005047955,0.0002329759,0.00002855034,0.00001148419,0.000009127343,0.00001250287,0.00003052946,0.9972028,0.0001042494,0.00004049772,0.002218582],"study_design_scores_gemma":[0.00002158539,0.0004405989,0.001918795,0.00001069979,0.00005239878,0.0001789138,0.0000185738,0.001461591,0.9944673,0.00014682,0.001269645,0.00001315167],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5017809,0.00406762,0.4848864,0.0003170224,0.0003703255,0.0004375444,0.001281053,0.001626741,0.005232378],"genre_scores_gemma":[0.6187592,0.001788932,0.354075,0.0007315819,0.0002203773,0.001198637,0.00377408,0.0002601613,0.01919211],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002214246,"threshold_uncertainty_score":0.007407427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04144518665641281,"score_gpt":0.2648893641048524,"score_spread":0.2234441774484396,"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."}}