{"id":"W4394276567","doi":"10.6084/m9.figshare.14189634","title":"Additional file 11 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; Genomics; Non-coding RNA; Biology; Genetics; 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":[0.001024349,0.001636221,0.001860979,0.002803277,0.001029194,0.002149411,0.002430776,0.002117283,0.5591618],"category_scores_gemma":[0.008669033,0.0007736596,0.001245592,0.004795203,0.0003785554,0.001486988,0.001385587,0.00142,0.159519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001236157,"about_ca_system_score_gemma":0.001823974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009288022,"about_ca_topic_score_gemma":0.01807921,"domain_scores_codex":[0.9993568,0.00008498156,0.00008844796,0.0002434833,0.0001147251,0.0001115664],"domain_scores_gemma":[0.9953383,0.002976568,0.0003452267,0.0004171172,0.0006229484,0.000299798],"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":[0.0002253697,0.00004946009,0.00157311,0.002716128,0.00006425694,0.00006430328,0.00003473331,0.0002895747,0.0003052722,0.0005950627,0.990972,0.003110708],"study_design_scores_gemma":[0.002686091,0.00009669508,0.01515207,0.001485695,0.0001977924,0.0003228713,0.0001613583,0.0006873478,0.001136897,0.0053409,0.9726453,0.00008693295],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004876585,0.00001769264,0.00003364579,0.00001898081,0.000004385943,0.000007159545,0.9995795,0.00008260623,0.0002073433],"genre_scores_gemma":[0.0007577871,0.00004139603,0.0003743704,0.00007509562,0.000007765143,0.0001287333,0.997685,0.0001160461,0.0008137862],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5591618,"threshold_uncertainty_score":0.6288022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02277931786576315,"score_gpt":0.2920471666400566,"score_spread":0.2692678487742934,"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."}}