{"id":"W3205559741","doi":"10.2217/epi-2021-0069","title":"<i>HAR1</i> : An Insight Into lncRNA Genetic Evolution","year":2021,"lang":"en","type":"article","venue":"Epigenomics","topic":"Cancer-related molecular mechanisms research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Biology; Locus (genetics); Genetics; Lineage (genetic); Gene; Computational biology; Genome; Long non-coding RNA; Evolutionary biology; Disease; RNA","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":[0.0002249953,0.0001819846,0.0001653384,0.0005079727,0.0002983092,0.0008126186,0.0002453674,0.0003883525,0.001463958],"category_scores_gemma":[0.0001779749,0.00006467442,0.0001755749,0.0005804045,0.0006546745,0.001178791,0.0003519826,0.0006113753,0.0003375922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004287226,"about_ca_system_score_gemma":0.0002514962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007778858,"about_ca_topic_score_gemma":0.001220105,"domain_scores_codex":[0.9999621,0.000006941845,0.000001932493,0.00001546456,0.000005982345,0.000007646174],"domain_scores_gemma":[0.9999241,0.00002888604,0.00001936161,0.000005789552,0.000008752983,0.00001325621],"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":[0.0004847481,0.0000501488,0.0309315,0.001081536,0.0001047745,0.003786965,0.002385111,0.005328631,0.5599986,0.1340201,0.01012067,0.2517072],"study_design_scores_gemma":[0.00001924641,0.0002761931,0.1076919,0.0005956748,0.0001617651,0.01008237,0.003486565,0.01101363,0.1242522,0.1708298,0.5714262,0.0001643882],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6023842,0.1958346,0.1136286,0.02743222,0.0009442104,0.00004975001,0.002855204,0.0009603403,0.05591099],"genre_scores_gemma":[0.8059574,0.1177272,0.05377313,0.004315414,0.0007377272,0.00003269228,0.001145345,0.0001746652,0.01613656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001463958,"threshold_uncertainty_score":0.004897416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008283402402819318,"score_gpt":0.2540895253586988,"score_spread":0.2458061229558795,"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."}}