{"id":"W4404868933","doi":"10.5376/mgg.2024.15.0025","title":"Trends in Maize Genomic Research: Past, Present, and Future","year":2024,"lang":"en","type":"article","venue":"Maize Genomics and Genetics","topic":"Plant Disease Resistance and Genetics","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Zea mays; Data science; Geography; Biology; Computational biology; Evolutionary biology; Computer science; Agronomy","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":[],"consensus_categories":[],"category_scores_codex":[0.0003085773,0.0001569777,0.0001624941,0.00007582523,0.000146574,0.0002532048,0.0001556599,0.000125952,0.000087985],"category_scores_gemma":[0.000001536685,0.00007658437,0.00004563231,0.0003864405,0.0001097532,0.00003098129,0.0001702742,0.0001973617,0.00001412203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003065968,"about_ca_system_score_gemma":0.00001546706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003692187,"about_ca_topic_score_gemma":0.0003935139,"domain_scores_codex":[0.9986968,0.00007497727,0.0001963447,0.000436331,0.0001667171,0.0004288461],"domain_scores_gemma":[0.9995857,0.0001140344,0.00001877789,0.00007783518,0.00002452505,0.0001790848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006631147,0.00005130664,0.007853472,0.00005779998,0.00003350481,0.0001096559,0.0003654282,0.00001938624,0.09151372,0.000583941,0.01126334,0.8880821],"study_design_scores_gemma":[0.0001128115,0.000096119,0.2718247,0.00001607578,0.00001263405,0.00001781589,0.0003112506,0.000677949,0.0001847295,0.002827396,0.7237354,0.0001830589],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9471641,0.04596379,7.917549e-7,0.005224014,0.0001343319,0.0001280204,0.0002293506,0.00002362364,0.001131959],"genre_scores_gemma":[0.9635338,0.03188448,0.0002119396,0.0001299084,0.002892094,0.00001651951,0.00009828638,0.000004619543,0.001228356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8878991,"threshold_uncertainty_score":0.312302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03987670351955342,"score_gpt":0.2737407076818565,"score_spread":0.2338640041623031,"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."}}