{"id":"W4225009166","doi":"10.3389/fpls.2022.887553","title":"The SoyaGen Project: Putting Genomics to Work for Soybean Breeders","year":2022,"lang":"en","type":"review","venue":"Frontiers in Plant Science","topic":"Soybean genetics and cultivation","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; University of Guelph; Agriculture and Agri-Food Canada; Grain Research Centre; Université Laval","funders":"Government of Canada; Grain Farmers of Ontario; Canadian Field Crop Research Alliance; Genome Canada; Syngenta Canada; Saskatchewan Pulse Growers; Génome Québec; U.S. Department of Agriculture","keywords":"Genomics; Biology; Biotechnology; Work (physics); Genome; Genetics; Engineering; Gene","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001589707,0.0002165939,0.0004004129,0.00006733608,0.001261181,0.0002945594,0.001464983,0.00007899542,0.000008681976],"category_scores_gemma":[0.0002491158,0.00007702829,0.0001533993,0.001921163,0.0001508632,0.00005818325,0.0002706625,0.0001930382,0.000003654593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002757465,"about_ca_system_score_gemma":0.0001726618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003220829,"about_ca_topic_score_gemma":0.00005391755,"domain_scores_codex":[0.9980031,0.0000683731,0.0003805758,0.000597411,0.0003758011,0.000574738],"domain_scores_gemma":[0.9992024,0.0003526999,0.0002178118,0.0001161965,0.00002782862,0.00008312182],"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":[0.000005461332,0.000009150949,0.00006668581,0.00005621669,0.000005749453,8.624126e-7,0.0001185124,0.00000459947,0.00001335598,0.00003651066,0.01264386,0.987039],"study_design_scores_gemma":[0.00002632081,0.00006312868,0.0001074175,0.0002402961,0.00001860356,0.00000319603,0.0008002174,0.0000696318,0.000002708899,0.0001471537,0.9983181,0.0002032689],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0006549499,0.9918792,0.0001488644,0.0002478537,0.002823704,0.003358816,0.0003942459,0.00004482781,0.0004475212],"genre_scores_gemma":[0.00003009878,0.9937818,0.004520895,0.0001280205,0.0003081383,0.0005959643,0.0002217954,0.000003970771,0.0004093059],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9868358,"threshold_uncertainty_score":0.9700112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06426449421973968,"score_gpt":0.2746436324107915,"score_spread":0.2103791381910519,"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."}}