{"id":"W4394381678","doi":"10.6084/m9.figshare.14189694","title":"Additional file 5 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":"Computational biology; Identification (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":[0.0009468398,0.001621971,0.001847,0.002646909,0.0009837609,0.001947595,0.002365873,0.002105725,0.5391489],"category_scores_gemma":[0.007749557,0.0006820633,0.001278389,0.00436838,0.000363747,0.001345736,0.001336974,0.00135782,0.1473075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001193221,"about_ca_system_score_gemma":0.001807304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009774853,"about_ca_topic_score_gemma":0.01994205,"domain_scores_codex":[0.9993925,0.00008277229,0.00007663147,0.000228114,0.0001101767,0.0001097324],"domain_scores_gemma":[0.9959857,0.002552332,0.0002992392,0.0003557297,0.0005434459,0.0002636016],"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":[0.0002357539,0.00004742325,0.001861819,0.003054923,0.00007200807,0.00007087938,0.00003592475,0.0003428142,0.0003376376,0.0006064352,0.9900951,0.003239267],"study_design_scores_gemma":[0.002439508,0.0001025445,0.01555502,0.001431509,0.0002196903,0.0003501413,0.0001461205,0.0007794969,0.001228136,0.005175002,0.972491,0.00008189006],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005520838,0.00002078958,0.00003705455,0.00001969469,0.000004507259,0.000007165016,0.999549,0.00009195312,0.0002145427],"genre_scores_gemma":[0.0008391475,0.0000431709,0.0003914551,0.00008030817,0.000007432361,0.0001199638,0.9975851,0.0001187786,0.0008145774],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5391489,"threshold_uncertainty_score":0.6573481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02158232919191866,"score_gpt":0.2892643496063975,"score_spread":0.2676820204144788,"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."}}