{"id":"W4394237672","doi":"10.6084/m9.figshare.16815927","title":"Additional file 3 of Data integration and evolutionary analysis of long non-coding RNAs in 25 flowering plants","year":2021,"lang":"en","type":"dataset","venue":"Figshare","topic":"Plant and Fungal Interactions Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Agriculture and Agri-Food Canada","funders":"","keywords":"Coding (social sciences); Computer science; Computational biology; Biology; Mathematics; Statistics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00002777011,0.00009838731,0.0002039237,0.0002806918,0.0000233137,0.00001340392,0.0002587302,0.0001753975,0.7916642],"category_scores_gemma":[0.001387441,0.0001025338,0.00005709927,0.0002224298,0.000009326113,0.00001266898,0.0004373376,0.0001707596,0.00002529855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001302363,"about_ca_system_score_gemma":0.0001293923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004411141,"about_ca_topic_score_gemma":0.001297847,"domain_scores_codex":[0.9992483,0.00002886458,0.0002066607,0.0002789395,0.000140566,0.00009662326],"domain_scores_gemma":[0.9991302,0.0002546877,0.0001262029,0.0003565946,0.000104285,0.00002798885],"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":[0.00001794661,0.000031927,0.000001962964,0.0001109377,0.0002301357,0.00001839033,0.000001412114,0.00001444041,0.001048917,7.434324e-9,0.9981033,0.0004206316],"study_design_scores_gemma":[0.00005120779,0.00002108259,0.002091037,0.002464667,0.00003667107,0.00001204429,0.00001902924,0.001883255,0.001088951,1.255762e-7,0.992232,0.00009990132],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001469718,0.0002058489,0.000002317059,0.000001292708,0.00001270145,0.00005392904,0.9996195,8.576908e-7,0.00008889726],"genre_scores_gemma":[0.0001244264,0.0001100659,0.00008419577,0.000005145742,0.00006890546,0.00007339015,0.9994072,0.000004399212,0.0001222532],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7916389,"threshold_uncertainty_score":0.4181206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05171656640115822,"score_gpt":0.3221239013203122,"score_spread":0.2704073349191539,"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."}}