{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002150392,0.001033931,0.00055158,0.001516458,0.0009655037,0.0004903961,0.001453226,0.0005090461,0.003518062],"category_scores_gemma":[0.0008155902,0.0003958847,0.000751912,0.0008230763,0.0004158423,0.0002806527,0.001182484,0.000910737,0.001032154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007952827,"about_ca_system_score_gemma":0.001141266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005472383,"about_ca_topic_score_gemma":0.01579024,"domain_scores_codex":[0.9990865,0.0002185227,0.00008478149,0.0002216266,0.0002960144,0.00009258173],"domain_scores_gemma":[0.9995584,0.00008762071,0.00005384165,0.00009561055,0.00009350527,0.0001109889],"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":[0.001017041,0.0007483292,0.009964172,0.0003331227,0.0001624744,0.001035716,0.0006730044,0.003056536,0.9241303,0.002361316,0.000850976,0.05566698],"study_design_scores_gemma":[0.002093046,0.008670788,0.2214902,0.0004262628,0.001509295,0.005398432,0.001366627,0.03016209,0.5738901,0.002014682,0.1525591,0.0004192901],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8405839,0.0005878843,0.1274481,0.0002043758,0.0001297128,0.008995565,0.01017803,0.001227172,0.01064533],"genre_scores_gemma":[0.5216324,0.001268032,0.418868,0.0002112319,0.00003592547,0.009364103,0.03760541,0.000752123,0.01026276],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005472383,"threshold_uncertainty_score":0.01176912,"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."}}