{"id":"W4399326877","doi":"10.1093/bfgp/elae022","title":"Sesame Genomic Web Resource (SesameGWR): a well-annotated data resource for transcriptomic signatures of abiotic and biotic stress responses in sesame (<i>Sesamum indicum</i> L.)","year":2024,"lang":"en","type":"article","venue":"Briefings in Functional Genomics","topic":"Sesame and Sesamin Research","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University; Dalhousie University","funders":"ICAR-Indian Agricultural Statistics Research Institute; Ministry of Agriculture and Farmers Welfare; Indian Council of Agricultural Research","keywords":"Sesamum; Biology; Abiotic component; Transcriptome; Biotic stress; Abiotic stress; Resource (disambiguation); Biotic component; Ecology; Agronomy; Gene; Genetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001016599,0.002274718,0.002384651,0.005116527,0.0009163006,0.001569396,0.001820573,0.001734,0.01904758],"category_scores_gemma":[0.002191791,0.0008765967,0.001435726,0.005948139,0.0002947435,0.001662726,0.002407765,0.001872786,0.02314151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006046512,"about_ca_system_score_gemma":0.001753725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005767614,"about_ca_topic_score_gemma":0.01045889,"domain_scores_codex":[0.9993578,0.00007366004,0.00009355151,0.0001967267,0.0001834575,0.00009486085],"domain_scores_gemma":[0.9990853,0.00020513,0.0001782192,0.000171931,0.0001854742,0.0001740597],"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":[0.003569324,0.0003464139,0.01347075,0.01780582,0.00124235,0.003516804,0.001477451,0.002464318,0.2531224,0.006468591,0.5780646,0.1184511],"study_design_scores_gemma":[0.000514954,0.0002112317,0.033525,0.0009618026,0.0005304901,0.00115014,0.0003277245,0.003031562,0.03070421,0.004885235,0.923837,0.0003205941],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.006862779,0.002080587,0.009606831,0.000196142,0.0001347623,0.0001690859,0.9587593,0.0173718,0.004818767],"genre_scores_gemma":[0.006121334,0.00072484,0.009189825,0.0001405008,0.00001714349,0.0001784076,0.9809148,0.001542063,0.00117113],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01904758,"threshold_uncertainty_score":0.06372052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04625849184833471,"score_gpt":0.2600575078158142,"score_spread":0.2137990159674795,"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."}}