{"id":"W4394928005","doi":"10.1016/j.joca.2024.02.082","title":"IDENTIFICATION AND CHARACTERIZATION OF MIR-126-3P AS A DIAGNOSTIC BIOMARKER, MECHANISTIC DRIVER, AND THERAPEUTIC TARGET FOR KNEE OSTEOARTHRITIS","year":2024,"lang":"en","type":"article","venue":"Osteoarthritis and Cartilage","topic":"Osteoarthritis Treatment and Mechanisms","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network","funders":"","keywords":"Osteoarthritis; Identification (biology); Biomarker; Computational biology; Medicine; Biology; Pathology; Genetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007004871,0.0004621073,0.000763901,0.0008584719,0.0004847569,0.001249837,0.0004168172,0.0007234163,0.001567998],"category_scores_gemma":[0.001044368,0.0004615704,0.0005436463,0.0004673996,0.0005064051,0.000353035,0.0003898922,0.00107485,0.0008299177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004748305,"about_ca_system_score_gemma":0.001007441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006887289,"about_ca_topic_score_gemma":0.001277158,"domain_scores_codex":[0.9993223,0.00007367485,0.00006035239,0.0001429684,0.0003138148,0.00008687214],"domain_scores_gemma":[0.9996244,0.00008401238,0.000132131,0.000026586,0.0000744645,0.00005839994],"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":[0.001111134,0.0001637672,0.009418319,0.0003615855,0.0001125057,0.0005992025,0.00009473792,0.0005062261,0.9578204,0.001522639,0.001051112,0.02723854],"study_design_scores_gemma":[0.0003933234,0.001679111,0.0675713,0.0001690518,0.0006343177,0.008083992,0.0003173914,0.01631695,0.8603367,0.002820662,0.04154908,0.0001280381],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9252161,0.02690862,0.02917388,0.00167853,0.0005785231,0.0003176534,0.004163289,0.0005293377,0.01143409],"genre_scores_gemma":[0.9715464,0.002899707,0.01781467,0.0007281734,0.0001107699,0.0001463714,0.002310347,0.00008430625,0.004359418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001567998,"threshold_uncertainty_score":0.005245447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00947747048382998,"score_gpt":0.2430139990378714,"score_spread":0.2335365285540414,"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."}}