{"id":"W4415722052","doi":"10.5376/bt.2025.16.0022","title":"Bt Gene Regulatory Network: A Comprehensive Genomic Approach","year":2025,"lang":"","type":"article","venue":"Bt Research","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Gene; Regulator gene; Genome; Genomics; Regulatory sequence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002374613,0.000542907,0.0006323934,0.0003049325,0.00100072,0.0003134461,0.001335226,0.001086573,0.00008728338],"category_scores_gemma":[0.00006028613,0.0005685994,0.0003693922,0.0007923656,0.0007018587,0.000009886657,0.002349182,0.00138807,0.0001593425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002276428,"about_ca_system_score_gemma":0.001434882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007246283,"about_ca_topic_score_gemma":0.00001969209,"domain_scores_codex":[0.9943902,0.0006757016,0.0009603012,0.001147129,0.0006573873,0.002169281],"domain_scores_gemma":[0.9964789,0.0001252922,0.0001847588,0.001994854,0.0008190375,0.0003971523],"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":[0.002047857,0.0009739045,0.001583044,0.001517122,0.002680743,0.00004858753,0.0007654431,0.01738765,0.241128,0.04389428,0.4678677,0.2201056],"study_design_scores_gemma":[0.002655687,0.0004984392,0.005471219,0.000222968,0.0001071594,0.0000518776,0.0009015259,0.02345116,0.009688003,0.003945588,0.9520134,0.0009929895],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4629802,0.1957102,0.04704989,0.00206868,0.003168255,0.005703664,0.0002163315,0.00007891107,0.2830239],"genre_scores_gemma":[0.9425997,0.007888894,0.005546486,0.0009792113,0.002354454,0.000151773,0.0005146458,0.0000866119,0.0398782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4841456,"threshold_uncertainty_score":0.9996765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04235106687603774,"score_gpt":0.3294729435926186,"score_spread":0.2871218767165809,"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."}}