{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001415448,0.0001689335,0.000139372,0.00005593492,0.0001445501,0.0000540515,0.0002600029,0.0002392878,0.00009016563],"category_scores_gemma":[0.00007682986,0.0001998571,0.0001014374,0.0001814561,0.0000574037,0.00000556027,0.0002398083,0.0001765615,0.00008080259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001405544,"about_ca_system_score_gemma":0.0005578905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008056755,"about_ca_topic_score_gemma":0.000413495,"domain_scores_codex":[0.9985424,0.0001326889,0.0002198805,0.000558865,0.0001895524,0.0003566459],"domain_scores_gemma":[0.9988202,0.000005338083,0.00005363224,0.0007281912,0.0002009199,0.0001916863],"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":[0.000049304,0.00006621413,0.00005672298,0.00001199987,0.00004706415,0.00003867083,0.0001175942,0.001014224,0.9910128,0.0003678099,0.0003889627,0.006828671],"study_design_scores_gemma":[0.0004583589,0.000217251,0.0006859475,0.000006698447,0.00001908958,0.00005607932,0.00006659453,0.0005624235,0.8274649,0.0007750104,0.1694155,0.0002721903],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7896819,0.01047189,0.1951065,0.0002623577,0.0005877947,0.0002948673,0.00002563847,0.00003784573,0.003531175],"genre_scores_gemma":[0.9875262,0.001297126,0.00841008,0.0004962384,0.0005740028,0.00003019968,0.0003346442,0.00007209136,0.001259353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1978443,"threshold_uncertainty_score":0.8149935,"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."}}