{"id":"W2145900909","doi":"10.1104/pp.110.170811","title":"Phenotypic and Genomic Analyses of a Fast Neutron Mutant Population Resource in Soybean  ","year":2011,"lang":"en","type":"article","venue":"PLANT PHYSIOLOGY","topic":"Soybean genetics and cultivation","field":"Agricultural and Biological Sciences","cited_by":205,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agricultural Research Service; Minnesota Soybean Research and Promotion Council; United Soybean Board; Killam Trusts; University of Minnesota; U.S. Department of Agriculture; National Science Foundation","keywords":"Biology; Mutant; Genetics; Functional genomics; Genome; Genomics; Ethyl methanesulfonate; Gene; Population; Phenotype; Candidate gene; Comparative genomic hybridization; Computational biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001609962,0.000299983,0.0002343545,0.0004618116,0.0002408407,0.0001957628,0.0002068603,0.0002144878,0.0007005048],"category_scores_gemma":[0.0001898488,0.0001422307,0.0002594203,0.0002705039,0.0001338647,0.00007039799,0.0003144808,0.0003170291,0.0001751681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003267895,"about_ca_system_score_gemma":0.0002295139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002609825,"about_ca_topic_score_gemma":0.005118649,"domain_scores_codex":[0.9998626,0.00001953293,0.00001614476,0.0000431386,0.00004217548,0.00001643452],"domain_scores_gemma":[0.9998832,0.00002375424,0.00002780929,0.00002000163,0.00001588002,0.00002946041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004249788,0.00001575385,0.0009429229,0.000009766742,0.000005087352,0.00004457029,0.00002263978,0.00006227721,0.9978994,0.0000237891,0.000009664709,0.0009215598],"study_design_scores_gemma":[0.0000623598,0.001201709,0.2656237,0.00001523719,0.0001364917,0.003145339,0.0003113419,0.003717283,0.7210488,0.0001573558,0.004540405,0.000039996],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941936,0.0001580325,0.003630484,0.00002243621,0.000003871581,0.00004751404,0.001236627,0.00004469802,0.000662601],"genre_scores_gemma":[0.9860074,0.0002755488,0.006741752,0.00003612418,0.000002596358,0.0000817053,0.005212437,0.00005541495,0.001587031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002609825,"threshold_uncertainty_score":0.0051893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04683090914382725,"score_gpt":0.2332235342350683,"score_spread":0.186392625091241,"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."}}