{"id":"W4225392801","doi":"10.1096/fasebj.2022.36.s1.0r364","title":"Comprehensive Analysis of miRNA Regulation of MGAT3 Using the miRFluR Assay","year":2022,"lang":"en","type":"article","venue":"The FASEB Journal","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Glycobiology; microRNA; Computational biology; Biology; Crosstalk; Glycan; Cell biology; Gene; Glycoprotein; 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":[0.0009988534,0.0007906187,0.001030154,0.001158134,0.0006061274,0.0007333425,0.0004820548,0.0005155693,0.001304556],"category_scores_gemma":[0.0007212369,0.0003915678,0.0009655632,0.001067484,0.0003776863,0.0004084083,0.0004694703,0.0009791119,0.001338497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007504663,"about_ca_system_score_gemma":0.0005825032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001457946,"about_ca_topic_score_gemma":0.003237601,"domain_scores_codex":[0.9987304,0.0001444255,0.00009830343,0.0004125823,0.0005041944,0.0001101314],"domain_scores_gemma":[0.9995626,0.0001495616,0.00009483488,0.00006311759,0.0000917508,0.00003819876],"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":[0.00009673423,0.00002183808,0.0004389372,0.00004377698,0.00002024402,0.00002076437,0.00003227749,0.0001577649,0.9966833,0.00007274983,0.0001570078,0.002254696],"study_design_scores_gemma":[0.000007601684,0.0001050035,0.00533552,0.000004526101,0.00003210327,0.0001132076,0.00001820802,0.002443704,0.9887316,0.00005770641,0.003129921,0.00002111456],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8177218,0.006763975,0.1462662,0.000316909,0.0001523708,0.0003538968,0.01981392,0.00357493,0.005035868],"genre_scores_gemma":[0.7373614,0.004044848,0.2187641,0.0003794577,0.00005119495,0.0008305066,0.0302933,0.0008515583,0.007423608],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001457946,"threshold_uncertainty_score":0.005445063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03312840087195615,"score_gpt":0.3050155092925873,"score_spread":0.2718871084206311,"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."}}