{"id":"W4220719430","doi":"10.3389/fonc.2022.808475","title":"Interplay Between Non-Coding RNAs and Programmed Cell Death Proteins","year":2022,"lang":"en","type":"review","venue":"Frontiers in Oncology","topic":"Autophagy in Disease and Therapy","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; Centennial College; University of Ottawa","funders":"","keywords":"MALAT1; microRNA; MEG3; Biology; Disease; Context (archaeology); Programmed cell death; Computational biology; RNA; Long non-coding RNA; Bioinformatics; Apoptosis; Cancer research; Genetics; Medicine; Gene; Internal medicine","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":[0.0003423047,0.0006678276,0.001010594,0.001243553,0.0001985738,0.0008152612,0.0005082503,0.0006983718,0.001357629],"category_scores_gemma":[0.0003273505,0.0001978998,0.0003498769,0.001129105,0.000423665,0.0007990143,0.0006782952,0.001244032,0.001006401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005667026,"about_ca_system_score_gemma":0.000701678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004730345,"about_ca_topic_score_gemma":0.0008626321,"domain_scores_codex":[0.9998355,0.0000289266,0.0000249201,0.00002874751,0.00006294143,0.00001899493],"domain_scores_gemma":[0.9998406,0.00006946966,0.00002988135,0.000005418773,0.00003771018,0.00001688282],"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":[0.00008155056,0.0000473528,0.0003399559,0.009438992,0.0001238216,0.0002744144,0.0000549737,0.0003519765,0.005765806,0.00533313,0.01395056,0.9642374],"study_design_scores_gemma":[0.00001844141,0.00009821817,0.00188847,0.001921941,0.0001199161,0.002413727,0.00004617084,0.0001775637,0.002714125,0.003183827,0.9873942,0.00002336337],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001910538,0.9987158,0.0001743524,0.0001541835,0.00008576686,0.000002376413,0.00001109714,0.000007008634,0.0006583708],"genre_scores_gemma":[0.001728592,0.9969764,0.0002908859,0.0001666681,0.0001413454,0.000008380179,0.00003979324,0.000001758305,0.0006461579],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.001357629,"threshold_uncertainty_score":0.004541695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04738024745196958,"score_gpt":0.3903103726536561,"score_spread":0.3429301252016865,"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."}}