{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006201492,0.000764732,0.001023117,0.00127257,0.0003305751,0.00103543,0.0007594042,0.001400331,0.002297164],"category_scores_gemma":[0.0008351277,0.0003100924,0.0003472611,0.001195207,0.0007411004,0.001479297,0.0007135311,0.002305215,0.001719408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007210682,"about_ca_system_score_gemma":0.001045416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005130026,"about_ca_topic_score_gemma":0.001195617,"domain_scores_codex":[0.9998023,0.00003244489,0.0000320392,0.00003620739,0.00007635353,0.00002067419],"domain_scores_gemma":[0.9996089,0.0001937964,0.00004071587,0.00001323266,0.0001010644,0.00004224021],"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":[0.00007296757,0.00005995358,0.0001956891,0.008671358,0.0000530616,0.0002716208,0.00008534744,0.0004520877,0.006039998,0.008615139,0.02918013,0.9463027],"study_design_scores_gemma":[0.00001109234,0.00007893029,0.0004510596,0.001280204,0.00004713148,0.001230799,0.00004998098,0.0001181923,0.001425653,0.002844471,0.9924449,0.00001756756],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000131722,0.9978569,0.0002364601,0.0005501455,0.0003538568,0.000004008042,0.00001062839,0.000009189036,0.0008470792],"genre_scores_gemma":[0.0009238971,0.9973743,0.0003308724,0.0003402643,0.0002744266,0.000009578457,0.00001964857,0.000002616288,0.000724344],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002297164,"threshold_uncertainty_score":0.007684767,"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."}}