{"id":"W4394144714","doi":"10.6084/m9.figshare.22618850","title":"Additional file 8 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); Nitrogen; Computer science; Chemistry; Botany; Biology; Materials science; Nanotechnology; Organic chemistry","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":[0.00003796032,0.0001628842,0.0002642162,0.00002863585,0.00004296525,0.00003227755,0.0002615797,0.0004107736,0.7875992],"category_scores_gemma":[0.00102801,0.00007791621,0.00006914006,0.0004972924,0.00001400786,0.00008334436,0.0001183283,0.0001932242,0.0002805447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003440825,"about_ca_system_score_gemma":0.00001307098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008195947,"about_ca_topic_score_gemma":0.0008530316,"domain_scores_codex":[0.998901,0.00009798737,0.0003297243,0.0002777607,0.0002405037,0.0001530441],"domain_scores_gemma":[0.9978192,0.001328346,0.000594163,0.00007081474,0.0001474945,0.00004000481],"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":[0.000003131245,0.00005336704,0.00001194581,0.00007795078,0.0000222732,0.000001675063,0.0000022326,0.00001154024,0.0009022301,9.664296e-8,0.9984838,0.0004297272],"study_design_scores_gemma":[0.000080363,0.00005369573,0.4706627,0.004246296,0.00001724411,0.000001435936,0.00002943559,0.00008776728,0.0001641704,0.00002382581,0.5243859,0.0002472326],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00154208,0.00001846675,2.89003e-9,0.00001564457,0.00003824525,0.0002647642,0.9980924,0.00002263451,0.000005734581],"genre_scores_gemma":[0.0004338554,0.00001462118,4.096982e-7,0.00002411505,0.0001621264,0.0003844894,0.9988741,0.000001754352,0.000104544],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7873186,"threshold_uncertainty_score":0.3605928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01788233122163825,"score_gpt":0.209705028541433,"score_spread":0.1918226973197947,"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."}}