{"id":"W4224117295","doi":"10.1101/2022.04.01.486772","title":"miRNA upregulate protein and glycan expression via direct activation in proliferating cells","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Canada Excellence Research Chairs, Government of Canada; University of Alberta","keywords":"Downregulation and upregulation; microRNA; Cell biology; Glycan; Messenger RNA; Biology; Regulation of gene expression; Computational biology; Chemistry; Molecular biology; Biochemistry; Gene; Glycoprotein","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":[0.0002644793,0.0003087411,0.0003465432,0.0003477449,0.0002022245,0.0004171346,0.0001338432,0.0002174654,0.002451671],"category_scores_gemma":[0.0001964846,0.0002065881,0.0003739275,0.0001836145,0.0001817117,0.0001848774,0.0004065014,0.0003370441,0.001329788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000206935,"about_ca_system_score_gemma":0.0001675211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001851419,"about_ca_topic_score_gemma":0.0003144628,"domain_scores_codex":[0.9997905,0.00003210153,0.00001782981,0.00005261114,0.00007648016,0.00003043546],"domain_scores_gemma":[0.9998562,0.00004516824,0.00002964817,0.00002344826,0.00002226186,0.00002317113],"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":[0.00003782154,0.000004106145,0.0001856394,0.00001988248,0.000002197337,0.00002715906,0.000009052455,0.00001857932,0.9985952,0.00008547514,0.00003676429,0.0009782042],"study_design_scores_gemma":[0.000005234506,0.000104983,0.005764138,0.000003168494,0.000008952115,0.0001501347,0.00001430264,0.0003624838,0.9896487,0.0001158021,0.003818478,0.00000361506],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9617443,0.004974782,0.01885764,0.000231503,0.0001660968,0.00007852656,0.001633868,0.0006534972,0.01165972],"genre_scores_gemma":[0.9629478,0.002042255,0.01772882,0.00018501,0.00007364302,0.00007331128,0.002154692,0.0001425554,0.01465181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002451671,"threshold_uncertainty_score":0.008201599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006959176684773212,"score_gpt":0.2092643266432765,"score_spread":0.2023051499585033,"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."}}