{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002056208,0.0002982981,0.0006084308,0.0001132324,0.00004398332,0.00001378831,0.00008207872,0.000211432,0.0002484133],"category_scores_gemma":[0.0007036663,0.0002401694,0.000210745,0.0003261036,0.0001504651,0.00002242699,0.00005701001,0.0001142787,0.00001656527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001455057,"about_ca_system_score_gemma":0.00007945504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006902519,"about_ca_topic_score_gemma":0.0001530147,"domain_scores_codex":[0.9980713,0.00003917802,0.000526645,0.0005572586,0.0003644423,0.0004411586],"domain_scores_gemma":[0.9987298,0.0001252784,0.00008633181,0.0004659468,0.0001272188,0.0004653998],"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":[0.0006640526,0.0003796749,0.002041125,0.0002993044,0.00003636218,0.0005855358,0.00008323039,0.000001127698,0.9934541,0.00001945662,0.0002759439,0.002160093],"study_design_scores_gemma":[0.003662187,0.001652811,0.0002258131,0.0005367703,0.0001890768,0.00003489356,0.0001865613,0.0005010355,0.9920422,0.00001121606,0.0007156828,0.0002417737],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969061,0.0007436625,0.00004709451,0.0004384303,0.00002084489,0.0009749978,0.00007869942,0.00007458615,0.0007156061],"genre_scores_gemma":[0.9941629,0.00001819808,0.001974428,0.0002489016,0.00004415738,0.0001300524,0.00003030926,0.00002738131,0.003363725],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002998135,"threshold_uncertainty_score":0.9793823,"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."}}