{"id":"W4387209596","doi":"10.1007/s11032-023-01417-w","title":"Development and evaluation of the utility of GenoBaits Peanut 40K for a peanut MAGIC population","year":2023,"lang":"en","type":"article","venue":"Molecular Breeding","topic":"Peanut Plant Research Studies","field":"Agricultural and Biological Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Agriculture","funders":"Key Technologies Research and Development Program; National Key Research and Development Program of China; Henan Academy of Agricultural Sciences","keywords":"Biology; Population; Quantitative trait locus; Genotyping; Single-nucleotide polymorphism; Genetics; Genotype; Biotechnology; Gene; Medicine","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001196613,0.00006073865,0.00009914751,0.00001610877,0.0001189268,0.00001099387,0.0001080533,0.00002543353,0.000009689605],"category_scores_gemma":[0.0002870203,0.00002307311,0.0000442797,0.0002612384,0.00004159365,0.00003409892,0.0001100294,0.00003240166,2.070594e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002085804,"about_ca_system_score_gemma":0.00001114849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004727663,"about_ca_topic_score_gemma":0.00007034267,"domain_scores_codex":[0.999036,0.0000686902,0.0001617972,0.0001421964,0.0004488016,0.0001425739],"domain_scores_gemma":[0.9996359,0.00007169689,0.00007916364,0.00003392201,0.0001572093,0.00002206188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0000167011,0.00002266545,0.01879849,0.00005111892,0.00002540446,4.43593e-7,0.0003693485,0.00001441623,0.8443157,0.0002086696,0.0002441724,0.1359329],"study_design_scores_gemma":[0.000130673,0.00003266862,0.9593317,0.00005904898,0.0000205193,0.000001112224,0.000323868,0.005483693,0.03312155,0.001171137,0.0002672738,0.00005674493],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998627,0.0001658414,0.00001591264,0.0003013374,0.00002685926,0.0003893015,0.00002364493,0.00001355203,0.0004365417],"genre_scores_gemma":[0.9996306,0.00001046543,0.000185056,0.000007666873,0.00001854834,0.00001771881,0.0001038194,2.697393e-7,0.00002582508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9405332,"threshold_uncertainty_score":0.09408941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1218517076790945,"score_gpt":0.3090936502292592,"score_spread":0.1872419425501647,"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."}}