{"id":"W3155861414","doi":"10.1177/19476035211008975","title":"Identification of Key Genes and Pathways in Osteoarthritis via Bioinformatic Tools: An Updated Analysis","year":2021,"lang":"en","type":"article","venue":"Cartilage","topic":"Osteoarthritis Treatment and Mechanisms","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Natural Science Foundation of China","keywords":"KEGG; Gene; Computational biology; Biology; Biological pathway; Candidate gene; Osteoarthritis; Signal transduction; Mechanism (biology); Bioinformatics; Gene ontology; Genetics; Gene expression; Medicine; Pathology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001444007,0.0001027821,0.0003308446,0.0002113982,0.00003112136,0.00003275664,0.00003289886,0.00007212312,0.0001142661],"category_scores_gemma":[0.00003038451,0.0001019731,0.00008207581,0.0005705234,0.00003651685,0.0002759084,0.00002440924,0.00004805908,0.00001242204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002529669,"about_ca_system_score_gemma":0.0000462257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005013484,"about_ca_topic_score_gemma":0.0002475541,"domain_scores_codex":[0.9990641,0.00004483964,0.0004075562,0.000190422,0.0001463059,0.0001467173],"domain_scores_gemma":[0.9993735,0.00001592328,0.00009416708,0.0003132399,0.0001082806,0.00009491121],"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":[0.00003224397,0.00009281765,0.005200972,0.0000406899,0.00002882752,0.0001395944,0.001006048,0.000003652011,0.9240546,0.0001440933,0.000004987285,0.06925153],"study_design_scores_gemma":[0.001872992,0.0004530268,0.006625321,0.000044248,0.0004988238,0.0000525318,0.00121737,0.0004163857,0.9884719,0.0001264208,0.0001141396,0.0001068565],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997525,0.001392957,0.0003004575,0.00004431054,0.00005380973,0.0002115213,0.00005178506,0.00003001853,0.0003901785],"genre_scores_gemma":[0.9983408,0.00009069958,0.0005414949,0.00005442541,0.00001610215,0.00001909329,0.0007675342,0.000009410905,0.0001604811],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06914467,"threshold_uncertainty_score":0.415834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01684657198625731,"score_gpt":0.2451951265320273,"score_spread":0.22834855454577,"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."}}