{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001344254,0.0003920062,0.0005514832,0.0003131573,0.0001781589,0.0002406104,0.0008123331,0.0003661497,0.0001387878],"category_scores_gemma":[0.0003992598,0.0002333238,0.0001457959,0.001077177,0.000366532,0.0002637401,0.0003608823,0.0006402243,0.00001346848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000193875,"about_ca_system_score_gemma":0.000233117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001017538,"about_ca_topic_score_gemma":0.001738556,"domain_scores_codex":[0.9965386,0.0002693087,0.0008277885,0.001198733,0.0004372014,0.0007283579],"domain_scores_gemma":[0.9964704,0.002849416,0.000143368,0.0002943645,0.00007983179,0.0001626143],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00457058,0.0005898232,0.0146549,0.0007206375,0.0002237099,0.0001311428,0.001190767,0.001616869,0.924329,0.000897821,0.01831208,0.03276265],"study_design_scores_gemma":[0.002866531,0.001212236,0.2788009,0.0009648584,0.0001740567,0.0001585266,0.002921617,0.03181304,0.008025428,0.001832413,0.6697565,0.00147393],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9866075,0.006427265,0.00002041795,0.003369355,0.0001881292,0.0008813352,0.002252726,0.0000883771,0.0001649229],"genre_scores_gemma":[0.995702,0.0006058132,0.0002699766,0.001191042,0.0003234871,0.00004049258,0.001208136,0.00001811079,0.0006408917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9163036,"threshold_uncertainty_score":0.9514667,"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."}}