{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000441721,0.0004171396,0.002646787,0.0005131789,0.00008847604,0.00001559261,0.0002734429,0.0005453753,0.0002162131],"category_scores_gemma":[0.00005976361,0.0003553778,0.0003221551,0.0003216697,0.000127286,0.00004054938,0.0001980466,0.00116272,0.00001124489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009514088,"about_ca_system_score_gemma":0.0009602702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000245554,"about_ca_topic_score_gemma":0.000002685614,"domain_scores_codex":[0.9977587,0.0003071668,0.000659009,0.0005804567,0.0001947071,0.0004999157],"domain_scores_gemma":[0.9988605,0.0001688794,0.0003535839,0.0003692418,0.00001602481,0.0002318003],"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":[0.00006488281,0.0002451558,0.001150213,0.005911042,0.0003223608,0.0006470166,0.0002522304,2.688593e-8,3.407908e-7,0.00001129215,0.003358307,0.9880371],"study_design_scores_gemma":[0.001457724,0.001123234,0.0001083734,0.001933793,0.001084562,0.00007747764,0.0001296097,0.000009428361,0.000006907237,0.0001181926,0.993664,0.0002866914],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001015332,0.9884583,0.001740464,0.00006183661,0.00100886,0.003380994,0.000035405,0.00005803955,0.005154603],"genre_scores_gemma":[0.0001237719,0.9899133,0.006510511,0.0001613488,0.0004115432,0.001418879,0.000303369,0.0000864586,0.001070751],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9903057,"threshold_uncertainty_score":0.9998898,"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."}}