{"id":"W2060699552","doi":"10.1142/9789812836939_0052","title":"POST-TRANSCRIPTIONAL GENE REGULATION: RNA-PROTEIN INTERACTIONS, RNA PROCESSING, MRNA STABILITY AND LOCALIZATION","year":2008,"lang":"en","type":"article","venue":"","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of New Brunswick","funders":"","keywords":"Computational biology; RNA; Identification (biology); Gene; Messenger RNA; Post-transcriptional regulation; Transcriptional regulation; Regulation of gene expression; Computer science; Biology; Gene expression; 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":[0.001901023,0.001230482,0.001995815,0.0006120562,0.0005575162,0.002956373,0.00177005,0.002410519,0.003357228],"category_scores_gemma":[0.00192602,0.0005986765,0.001013986,0.001894703,0.001627212,0.003013592,0.001115245,0.002075064,0.001632323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001555189,"about_ca_system_score_gemma":0.0008520315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00125288,"about_ca_topic_score_gemma":0.0008573233,"domain_scores_codex":[0.9993563,0.0001762484,0.00004445668,0.0002283802,0.0001229999,0.00007164753],"domain_scores_gemma":[0.9992678,0.0004149992,0.00007565697,0.00006905438,0.0001097876,0.00006266832],"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":[0.0009545099,0.0003147162,0.003930501,0.006963578,0.0003998946,0.0009740341,0.0005672796,0.1780758,0.1747111,0.172537,0.04006973,0.4205018],"study_design_scores_gemma":[0.0001197919,0.0004807029,0.01012609,0.0005096386,0.0002995918,0.001551882,0.0004940202,0.4376756,0.07879192,0.3395241,0.1302047,0.0002218874],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.06862175,0.1488267,0.7403973,0.01772897,0.003234405,0.000136954,0.0009421163,0.002696474,0.01741523],"genre_scores_gemma":[0.6480783,0.09702165,0.2075973,0.002827542,0.004562231,0.0003884375,0.00209945,0.0006944749,0.03673054],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.003357228,"threshold_uncertainty_score":0.01128376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01725422791317561,"score_gpt":0.235476139425207,"score_spread":0.2182219115120314,"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."}}