{"id":"W4394497368","doi":"10.6084/m9.figshare.14189706","title":"Additional file 9 of Identification of 11 candidate structured noncoding RNA motifs in humans by comparative genomics","year":2021,"lang":"en","type":"dataset","venue":"Figshare","topic":"Cancer-related molecular mechanisms research","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; Non-coding RNA; Biology; Genetics; Genomics; 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":[0.0009285193,0.001618883,0.001824208,0.002606261,0.0009851059,0.001995977,0.002323669,0.002034974,0.5388045],"category_scores_gemma":[0.00758227,0.0007102489,0.001211085,0.004171403,0.0003449525,0.001407054,0.001389256,0.001373169,0.1640269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001143957,"about_ca_system_score_gemma":0.001709781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009266266,"about_ca_topic_score_gemma":0.0188506,"domain_scores_codex":[0.9993831,0.00007803239,0.0000820372,0.0002305075,0.0001149401,0.0001113118],"domain_scores_gemma":[0.9960688,0.002425586,0.0002954963,0.0003773191,0.0005686163,0.0002640313],"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":[0.0002196271,0.00004392725,0.001641783,0.002335474,0.00005927485,0.00006490832,0.00003273755,0.0002665671,0.0003222483,0.0005377441,0.9915261,0.002949599],"study_design_scores_gemma":[0.002333581,0.00008986317,0.01508331,0.001318735,0.0001790431,0.0002946671,0.0001494684,0.0006807397,0.001218373,0.004954516,0.9736173,0.00008032437],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005028891,0.00001577138,0.00003323849,0.00001738391,0.000004209213,0.000006293854,0.9995624,0.00009615557,0.0002141783],"genre_scores_gemma":[0.0006851499,0.00003341971,0.0003429178,0.00006622856,0.000006769577,0.000101115,0.9978818,0.0001204111,0.0007620309],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5388045,"threshold_uncertainty_score":0.6578394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02159435317502749,"score_gpt":0.2892768608140374,"score_spread":0.2676825076390099,"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."}}