{"id":"W2038138598","doi":"10.1371/journal.pgen.1004351","title":"The Case for Junk DNA","year":2014,"lang":"en","type":"article","venue":"PLoS Genetics","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":275,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Biology; ENCODE; Human genome; Genome; Noncoding DNA; Genetics; Gene; Computational biology; Genome project","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":[0.0001357627,0.0001031841,0.00007268333,0.000008569464,0.0002232855,0.00004417763,0.0001924887,0.00008539369,0.000002135387],"category_scores_gemma":[0.00008043158,0.00008057978,0.00006683992,0.00002382323,0.00005526698,4.415787e-7,0.0000821669,0.00003597578,0.000007234004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006220366,"about_ca_system_score_gemma":0.00002575816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.239602e-7,"about_ca_topic_score_gemma":0.00008310846,"domain_scores_codex":[0.9993752,0.00002533811,0.0001447256,0.000187467,0.0000500941,0.0002172056],"domain_scores_gemma":[0.9993577,0.00003603793,0.00005502025,0.0004160848,0.00007689741,0.00005826176],"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":[0.00004927816,0.000105909,0.0004084312,0.00005942263,0.0001530448,0.000009520053,0.00007255242,0.0005959746,0.9669309,0.002875821,0.008337386,0.02040181],"study_design_scores_gemma":[0.0007791404,0.0006014325,0.0000756946,0.000005863067,0.00007716105,0.0002276218,0.0001244307,0.09494051,0.5196632,0.002904277,0.3802305,0.000370201],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943991,0.0004719151,0.003547985,0.0002282576,0.0001766006,0.000216811,0.00002508212,0.000008211005,0.0009259843],"genre_scores_gemma":[0.9959152,0.0001593985,0.002631753,0.000214398,0.0003791025,0.00004237522,0.00004430699,0.00003023142,0.0005832713],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4472677,"threshold_uncertainty_score":0.3285948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008427080706530189,"score_gpt":0.2179336013496808,"score_spread":0.2095065206431506,"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."}}