{"id":"W4394278288","doi":"10.6084/m9.figshare.21629131","title":"Additional file 5 of Comparative transcriptomic analysis provides insights into the molecular basis underlying pre-harvest sprouting in rice","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"GABA and Rice Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Transcriptome; Sprouting; Biology; Basis (linear algebra); Biotechnology; Computational biology; Computer science; Genetics; Botany; Gene; Mathematics; Gene expression","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":[0.00006833002,0.0002049673,0.0003728694,0.00009612019,0.0003083441,0.00008577998,0.0007699457,0.0001311218,0.992597],"category_scores_gemma":[0.0005447814,0.0000750535,0.0002752597,0.001838958,0.00002927084,0.0001038932,0.000215975,0.0005447731,0.0001315082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007780673,"about_ca_system_score_gemma":0.00007674915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001347323,"about_ca_topic_score_gemma":0.01392258,"domain_scores_codex":[0.9981385,0.0003527583,0.0003092157,0.00040214,0.0005400678,0.0002573481],"domain_scores_gemma":[0.9966468,0.002838389,0.0002371634,0.0001188366,0.00009854023,0.00006032268],"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":[0.000008886153,0.0000696606,7.630977e-7,0.0001040365,0.000121176,0.00001137099,0.0001700753,0.0000435587,0.0003349474,4.554019e-7,0.9988018,0.0003333275],"study_design_scores_gemma":[0.00003490234,0.00007905307,0.01610147,0.0003708906,0.00005331277,8.532007e-7,0.0007063035,0.00009744682,0.00002757528,0.00001398822,0.9823387,0.000175518],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007451593,0.0002671149,1.13633e-8,0.00005521358,0.000007331696,0.0003835562,0.9984288,0.00001079767,0.0001020685],"genre_scores_gemma":[0.003235008,0.000006739879,0.000008375211,0.00005263765,0.0000358604,0.001363994,0.9952078,0.000001105048,0.00008844909],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9924655,"threshold_uncertainty_score":0.7769127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07485969263943794,"score_gpt":0.2994069058184097,"score_spread":0.2245472131789718,"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."}}