{"id":"W4394084097","doi":"10.6084/m9.figshare.21629104","title":"Additional file 11 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":"Sprouting; Transcriptome; Biology; Basis (linear algebra); Computational biology; Computer science; Genetics; Horticulture; 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":[0.00008051276,0.0002132845,0.0003875338,0.00009991517,0.0003204251,0.00008948591,0.0007940892,0.0001350829,0.9772786],"category_scores_gemma":[0.0004376353,0.00007863551,0.0002828016,0.001844467,0.0000307345,0.0001106915,0.0002217477,0.0004983071,0.0000959757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007971196,"about_ca_system_score_gemma":0.00007529021,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002295068,"about_ca_topic_score_gemma":0.02938763,"domain_scores_codex":[0.9980627,0.0003695473,0.0003227719,0.0004178961,0.0005588968,0.0002682368],"domain_scores_gemma":[0.9972945,0.002175384,0.0002402249,0.0001237549,0.0001027061,0.00006340608],"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":[0.000007716881,0.00007559708,0.000002383339,0.0001133254,0.000105836,0.0000122335,0.0001923357,0.00005434468,0.0004040763,7.935951e-7,0.9987859,0.0002454524],"study_design_scores_gemma":[0.00004276149,0.0000753253,0.02368421,0.000344976,0.0000614422,9.369762e-7,0.0008094292,0.000106144,0.00003913121,0.00001472877,0.9746346,0.0001863542],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002156406,0.0002869146,1.725772e-8,0.0000696209,0.000008773019,0.0004071521,0.9969906,0.00001138011,0.0000691457],"genre_scores_gemma":[0.007587885,0.00000735674,0.000007924617,0.00005372261,0.00003747505,0.001075826,0.9911529,0.000001177681,0.00007573681],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9771826,"threshold_uncertainty_score":0.9883235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07718514894691038,"score_gpt":0.3009957609546411,"score_spread":0.2238106120077307,"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."}}