{"id":"W2749708204","doi":"10.1016/j.jot.2017.06.005","title":"Meta-analysis of urinary C-terminal telopeptide of type II collagen as a biomarker in osteoarthritis diagnosis","year":2017,"lang":"en","type":"article","venue":"Journal of Orthopaedic Translation","topic":"Osteoarthritis Treatment and Mechanisms","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Science and Technology of the People's Republic of China; Shanghai Municipal Education Commission; National Natural Science Foundation of China; Deutsche Forschungsgemeinschaft","keywords":"N-terminal telopeptide; Osteoarthritis; Biomarker; Urinary system; Medicine; Type II collagen; Type I collagen; Internal medicine; Pathology; Chemistry; Arthritis; Biochemistry; Enzyme; Osteocalcin","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01953623,0.002619532,0.0137973,0.005798512,0.0007252106,0.003275505,0.001897068,0.002338987,0.002219047],"category_scores_gemma":[0.03889848,0.0009699432,0.03965881,0.006636305,0.0005726274,0.001523376,0.001312496,0.001606995,0.0002281401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00100504,"about_ca_system_score_gemma":0.001502275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002666229,"about_ca_topic_score_gemma":0.003471624,"domain_scores_codex":[0.982731,0.009302277,0.00358634,0.002413285,0.001480044,0.0004869273],"domain_scores_gemma":[0.9668113,0.02567986,0.003811252,0.001791588,0.001484617,0.0004214071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.003639414,0.00002661284,0.03414222,0.03086898,0.9241364,0.0001880677,0.00004778698,0.0006153348,0.000353564,0.0001085531,0.0003489257,0.005524125],"study_design_scores_gemma":[0.0004106105,0.0002521636,0.0156164,0.001641161,0.9802269,0.00014254,0.00002882683,0.0005241819,0.0001659819,0.0002636198,0.0007125608,0.00001510999],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.04387902,0.9500766,0.002803493,0.000531174,0.0006360358,0.0002010899,0.001278194,0.00006333969,0.0005310118],"genre_scores_gemma":[0.8126295,0.1779451,0.003974712,0.001121121,0.00104687,0.0007754877,0.001838374,0.00006810926,0.0006007765],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01953623,"threshold_uncertainty_score":0.1033187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09472594226297414,"score_gpt":0.3342688770860262,"score_spread":0.239542934823052,"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."}}