{"id":"W3084277629","doi":"10.3389/fgene.2020.515094","title":"A Survey of Regulatory Interactions Among RNA Binding Proteins and MicroRNAs in Cancer","year":2020,"lang":"en","type":"article","venue":"Frontiers in Genetics","topic":"Cancer-related molecular mechanisms research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"microRNA; Computational biology; RNA-binding protein; Biology; Genetics; RNA; Cancer; Gene","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":[0.000791622,0.0002611637,0.0004953707,0.001794564,0.0003136948,0.0005142508,0.0001989286,0.0002759155,0.0009460201],"category_scores_gemma":[0.001023535,0.0002368041,0.0003967104,0.003196068,0.0003279899,0.0004058143,0.0002231441,0.0002638109,0.0002633668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004006707,"about_ca_system_score_gemma":0.0003716743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000919789,"about_ca_topic_score_gemma":0.001163365,"domain_scores_codex":[0.9993924,0.0001538287,0.00004343934,0.0001986335,0.0001568299,0.00005483686],"domain_scores_gemma":[0.9989619,0.0005978824,0.0002472114,0.00003941721,0.00008589312,0.00006774349],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.001195835,0.0001654626,0.2828484,0.003899672,0.0009529182,0.001190738,0.0005949775,0.004972776,0.3282908,0.004800301,0.002752519,0.3683358],"study_design_scores_gemma":[0.00001777741,0.0003839045,0.8560331,0.0001948375,0.0006483784,0.00369483,0.000478623,0.004620947,0.04809922,0.002964729,0.08280943,0.00005419887],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.6475517,0.3313638,0.008882988,0.000787507,0.00004596376,0.00003279664,0.001848115,0.0001787928,0.009308457],"genre_scores_gemma":[0.9152305,0.07617067,0.004696448,0.0003597889,0.00008293554,0.00003960051,0.001785124,0.00004018885,0.001594923],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.001794564,"threshold_uncertainty_score":0.004186571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02163146545749457,"score_gpt":0.2823597146344552,"score_spread":0.2607282491769606,"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."}}