{"id":"W2889639332","doi":"10.1172/jci.insight.121630","title":"The complex landscape of microRNAs in articular cartilage: biology, pathology, and therapeutic targets","year":2018,"lang":"en","type":"review","venue":"JCI Insight","topic":"Cancer-related molecular mechanisms research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":102,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Western Hospital; University of Toronto; University Health Network","funders":"Canadian Institutes of Health Research","keywords":"microRNA; Osteoarthritis; Cartilage; Bioinformatics; Disease; Biology; Articular cartilage; Computational biology; Signal transduction; Population; Medicine; Neuroscience; Gene; Cell biology; Pathology; Genetics; Anatomy","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":[0.0004667856,0.0003302448,0.0007306932,0.0001344521,0.0001008946,0.00002685342,0.0004127831,0.000653331,0.00002732323],"category_scores_gemma":[0.00009964666,0.000219478,0.0002383928,0.0002284841,0.0004903206,0.000001571519,0.0003683014,0.0003417795,0.00001453557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002708691,"about_ca_system_score_gemma":0.0002297599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000125254,"about_ca_topic_score_gemma":0.0001411723,"domain_scores_codex":[0.9978666,0.0005117053,0.0005156378,0.0005589271,0.0001176404,0.0004295036],"domain_scores_gemma":[0.998827,0.00006089991,0.000234478,0.000692592,0.0001098169,0.00007522275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001933649,0.0003124672,0.00002665342,0.004642457,0.00102291,0.0002052206,0.0003182264,0.000003199842,0.3944669,0.001344467,0.006359652,0.5911045],"study_design_scores_gemma":[0.0003154835,0.0003042524,0.000007859841,0.0003200385,0.0001105117,0.00009573999,0.00001568667,0.000007452445,0.01379099,0.0001025461,0.9846977,0.000231764],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003304391,0.9979566,0.0003875406,0.00004413072,0.0001693175,0.0006584072,0.0000523913,0.0000067573,0.0003944501],"genre_scores_gemma":[0.004736993,0.9943898,0.00009591226,0.00007726071,0.0001469676,0.0001078288,0.000260373,0.00005459146,0.000130265],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.978338,"threshold_uncertainty_score":0.8950052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03629797943345708,"score_gpt":0.3339830931300506,"score_spread":0.2976851136965935,"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."}}