{"id":"W3164967547","doi":"10.1021/acschembio.1c00247","title":"High-Throughput miRFluR Platform Identifies miRNA Regulating B3GLCT That Predict Peters’ Plus Syndrome Phenotype, Supporting the miRNA Proxy Hypothesis","year":2021,"lang":"en","type":"article","venue":"ACS Chemical Biology","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Cancer Institute; Defense Advanced Research Projects Agency; Center for Scientific Review; Canada Excellence Research Chairs, Government of Canada","keywords":"microRNA; Phenotype; Biology; Computational biology; Glycosylation; Gene; Genetics","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":[0.0009995155,0.0006842926,0.0008428033,0.0007318768,0.000558539,0.00084232,0.0003847035,0.0006729859,0.002398024],"category_scores_gemma":[0.001108121,0.0004797616,0.0006642108,0.0003180241,0.000260689,0.0003234815,0.0004574339,0.0008277368,0.001307635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004402521,"about_ca_system_score_gemma":0.0004635715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001151848,"about_ca_topic_score_gemma":0.002499754,"domain_scores_codex":[0.9991429,0.00008643487,0.00004724605,0.0003116099,0.0003310466,0.0000808151],"domain_scores_gemma":[0.9994243,0.0002347408,0.0001480689,0.00006398633,0.00006896188,0.00005982941],"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":[0.0007133554,0.0001844275,0.0154403,0.0001165393,0.0001170837,0.0001721158,0.00007426778,0.003010148,0.9650774,0.000364277,0.002119797,0.01261022],"study_design_scores_gemma":[0.0001422242,0.0007876269,0.1044446,0.00001912073,0.0001896909,0.001361467,0.00008183796,0.103352,0.7817515,0.0007062524,0.007044675,0.0001190792],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9278352,0.00103661,0.04644772,0.0004497545,0.0001006548,0.0002151183,0.01373658,0.006028004,0.004150443],"genre_scores_gemma":[0.8634832,0.0003555909,0.1157994,0.0006232468,0.00003269167,0.0004061453,0.01558616,0.0005172535,0.003196288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002398024,"threshold_uncertainty_score":0.00802213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01829415133382732,"score_gpt":0.2491475383777392,"score_spread":0.2308533870439119,"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."}}