{"id":"W2138237282","doi":"10.3389/fgene.2015.00002","title":"Non-coding RNA: what is functional and what is junk?","year":2015,"lang":"en","type":"article","venue":"Frontiers in Genetics","topic":"Cancer-related molecular mechanisms research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":920,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Non-coding RNA; Noncoding DNA; Biology; RNA; Genome; Multicellular organism; Computational biology; Genetics; Gene; Long non-coding RNA; Evolutionary biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002515514,0.0001962698,0.0001820766,0.0001364202,0.00006136559,0.000268934,0.0001967697,0.0003014515,0.00002632721],"category_scores_gemma":[0.00002219305,0.0002195347,0.0000649404,0.000177793,0.0001115298,0.00003272909,0.0002492973,0.0002047374,0.00001200161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008189442,"about_ca_system_score_gemma":0.0001972401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001005583,"about_ca_topic_score_gemma":0.000009591005,"domain_scores_codex":[0.9984934,0.00004267176,0.000212539,0.0005132334,0.000348156,0.0003900529],"domain_scores_gemma":[0.9991746,0.000003983803,0.00005461742,0.0004005972,0.0001469476,0.000219266],"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":[0.0005523343,0.0001500487,0.002536028,0.00009655255,0.0003696726,0.000051126,0.00181365,0.001521112,0.3768848,0.0000319256,0.3548249,0.2611678],"study_design_scores_gemma":[0.002210641,0.000425947,0.0003993484,0.0001126004,0.00003924616,0.00003348709,0.004365312,0.007116785,0.816056,0.0009211722,0.1677917,0.0005277782],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3655598,0.2214409,0.3992081,0.00283939,0.008657396,0.001061386,0.00003096009,0.00003055839,0.001171492],"genre_scores_gemma":[0.7671276,0.1930514,0.02837779,0.005377577,0.001071972,0.0001033064,0.0002116175,0.0001697108,0.004509084],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4391711,"threshold_uncertainty_score":0.8952366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01665615549210843,"score_gpt":0.2600917899997028,"score_spread":0.2434356345075944,"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."}}