{"id":"W4394515428","doi":"10.6084/m9.figshare.14189670","title":"Additional file 21 of Identification of 11 candidate structured noncoding RNA motifs in humans by comparative genomics","year":2021,"lang":"en","type":"dataset","venue":"Figshare","topic":"RNA regulation and disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Identification (biology); Computational biology; Genomics; Biology; Genetics; Non-coding RNA; Comparative genomics; RNA; Genome; Gene","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008695799,0.001617097,0.001721347,0.002491532,0.0008821721,0.001847894,0.002428656,0.002041226,0.54713],"category_scores_gemma":[0.00724979,0.0006868152,0.001192719,0.004285411,0.0003343972,0.00140313,0.001411962,0.001365506,0.1616308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001085747,"about_ca_system_score_gemma":0.001579988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008021117,"about_ca_topic_score_gemma":0.01547513,"domain_scores_codex":[0.9994703,0.0000664019,0.00007121859,0.0002016141,0.0000948567,0.0000955592],"domain_scores_gemma":[0.996183,0.002361016,0.0002861944,0.0003710701,0.0005148299,0.0002838792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001957097,0.0000393081,0.001463354,0.002026901,0.00005612505,0.00006274878,0.00002948092,0.0002561114,0.0002932771,0.0005123331,0.9922343,0.002830266],"study_design_scores_gemma":[0.002395732,0.00009280402,0.01672448,0.001270607,0.0001909899,0.000331048,0.0001396147,0.0007561612,0.001218034,0.005285306,0.9715083,0.00008672028],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005537969,0.00001524911,0.00003577116,0.00001886344,0.000004182916,0.000006375072,0.9995572,0.0001021158,0.0002048696],"genre_scores_gemma":[0.0007832728,0.00003411761,0.0003671456,0.00007021928,0.000007944857,0.0001059359,0.9977434,0.0001355975,0.0007523927],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.54713,"threshold_uncertainty_score":0.645964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01976657861494337,"score_gpt":0.2705188460196224,"score_spread":0.2507522674046791,"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."}}