{"id":"W4407415802","doi":"10.1080/15476286.2025.2465196","title":"AUGcontext DB: a comprehensive catalog of the mRNA AUG initiator codon context across eukaryotes","year":2025,"lang":"en","type":"review","venue":"RNA Biology","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"Natural Sciences and Engineering Research Council of Canada; Instituto Tecnológico y de Estudios Superiores de Monterrey; Instituto Nacional de Cancerología","keywords":"Biology; Genetics; Context (archaeology); Start codon; Messenger RNA; Computational biology; Evolutionary biology; Gene; Paleontology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001222035,0.003569712,0.002411036,0.01161703,0.001310304,0.002544913,0.001515421,0.001323087,0.01722007],"category_scores_gemma":[0.003348585,0.001159141,0.001258232,0.0118072,0.000427963,0.002295726,0.002808757,0.001395429,0.02875584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006909239,"about_ca_system_score_gemma":0.002216023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002877035,"about_ca_topic_score_gemma":0.003280834,"domain_scores_codex":[0.99885,0.0001498799,0.0003056352,0.0002820354,0.0002614025,0.0001510376],"domain_scores_gemma":[0.9980109,0.0004715308,0.0004442107,0.0003167316,0.0003927934,0.0003637859],"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":[0.005218729,0.0003599485,0.03571894,0.01858832,0.0004317796,0.003162623,0.002031882,0.002183116,0.07519611,0.007043259,0.5618387,0.2882265],"study_design_scores_gemma":[0.0001531477,0.0001755825,0.02218978,0.0009104299,0.0002202533,0.001907657,0.0003649154,0.001266132,0.01080729,0.003241727,0.958575,0.0001880503],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02120407,0.00675975,0.01552887,0.0001931592,0.0001982413,0.0002338479,0.9100556,0.03557564,0.01025083],"genre_scores_gemma":[0.008216122,0.00175194,0.0185408,0.0001430476,0.0000484146,0.000181462,0.966184,0.003544112,0.001390109],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01722007,"threshold_uncertainty_score":0.05760694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03836679107735855,"score_gpt":0.336268084451625,"score_spread":0.2979012933742665,"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."}}