{"id":"W4394482997","doi":"10.6084/m9.figshare.22618832","title":"Additional file 3 of Identification and characterization of CircRNA-associated CeRNA networks in moso bamboo under nitrogen stress","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"Silicon Effects in Agriculture","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Bamboo; Identification (biology); Characterization (materials science); Computer science; Computational biology; Biology; Botany; Materials science; Nanotechnology","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":[0.00003791124,0.0001628505,0.0002641096,0.00002862995,0.00004294364,0.00003226262,0.0002614924,0.0004107362,0.7903091],"category_scores_gemma":[0.001038089,0.00007789653,0.00006912998,0.0004974811,0.00001400454,0.00008333596,0.0001182971,0.0001931971,0.0002859002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003452697,"about_ca_system_score_gemma":0.00001309925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008205047,"about_ca_topic_score_gemma":0.0008472205,"domain_scores_codex":[0.9989012,0.00009791685,0.0003296194,0.0002777059,0.000240552,0.0001530118],"domain_scores_gemma":[0.9978189,0.001327199,0.0005940766,0.00007079069,0.0001490103,0.00003999775],"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":[0.000003145259,0.0000533008,0.00001203356,0.00007845903,0.0000222514,0.000001667907,0.000002227248,0.00001152798,0.0009160639,9.375143e-8,0.9984762,0.0004230496],"study_design_scores_gemma":[0.00007951586,0.00005260742,0.4625003,0.00416813,0.00001685375,0.000001399789,0.00002890266,0.00008612077,0.0001615969,0.00002323919,0.532638,0.0002433948],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001536313,0.00001839375,2.874466e-9,0.00001556633,0.00003858062,0.0002646011,0.9980981,0.0000227514,0.000005716758],"genre_scores_gemma":[0.0004266165,0.00001478662,4.090666e-7,0.00002406721,0.0001637332,0.0003844211,0.9988779,0.000001756548,0.0001063004],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7900231,"threshold_uncertainty_score":0.3674764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01787288975071575,"score_gpt":0.2095598299057839,"score_spread":0.1916869401550681,"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."}}