{"id":"W4409339737","doi":"10.20900/cbgg20250002","title":"Embracing the Omics Era for Plant Breeding","year":2025,"lang":"en","type":"article","venue":"Crop Breeding Genetics and Genomics","topic":"Forest ecology and management","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Western Grains Research Foundation; Saskatchewan Canola Development Commission; Ministry of Agriculture - Saskatchewan","keywords":"Omics; Biology; Data science; Computational biology; Biotechnology; Geography; Computer science; Bioinformatics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003222271,0.0001132864,0.0001068003,0.00003161639,0.0005461739,0.00008868849,0.0002272497,0.00006821971,0.00002282731],"category_scores_gemma":[0.00002175547,0.00009242971,0.00003902439,0.00008056767,0.0001934402,0.00003160127,0.0004024446,0.0001006408,0.00001443316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000789285,"about_ca_system_score_gemma":0.00001298875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002620891,"about_ca_topic_score_gemma":0.0001354235,"domain_scores_codex":[0.9992586,0.000008122539,0.0001677536,0.00024772,0.00005611111,0.0002617251],"domain_scores_gemma":[0.9996588,0.00008112998,0.00005379939,0.0001582523,0.000006877131,0.00004118829],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005014647,0.0002375341,0.08027983,0.000329027,0.000537801,0.00001516859,0.006110277,0.08889414,0.1070881,0.4036256,0.1055073,0.2068737],"study_design_scores_gemma":[0.001292109,0.0003294385,0.09169322,0.00003561125,0.0002160659,0.00001905868,0.0007900078,0.1085938,0.004317339,0.1208256,0.6713282,0.0005595385],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9640231,0.0004614261,0.01459831,0.001946656,0.001265959,0.0005692273,0.00001941255,0.00002157843,0.01709435],"genre_scores_gemma":[0.9920387,0.0003497333,0.004204952,0.001300772,0.0001750544,0.00003634044,0.000009411132,0.00001551472,0.001869499],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5658209,"threshold_uncertainty_score":0.4200784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01179402208080752,"score_gpt":0.2181259429065872,"score_spread":0.2063319208257797,"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."}}