{"id":"W4392285194","doi":"10.3390/plants13050691","title":"Development and Assessment of SNP Genotyping Arrays for Citrus and Its Close Relatives","year":2024,"lang":"en","type":"article","venue":"Plants","topic":"Plant Pathogenic Bacteria Studies","field":"Agricultural and Biological Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Genetics; Office of Science; National Institute of Food and Agriculture; U.S. Department of Agriculture; U.S. Department of Energy","keywords":"Genotyping; Biology; Genome; Single-nucleotide polymorphism; SNP genotyping; SNP; Genetics; Molecular Inversion Probe; Concordance; SNP array; Computational biology; Genotype; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001320545,0.0000697803,0.0001133398,0.000007868101,0.00008886547,0.00002215405,0.00003583251,0.00003100737,0.000008467678],"category_scores_gemma":[0.00001261606,0.0000267524,0.00001283399,0.00003499083,0.00001520216,0.00005239578,0.00004711269,0.00003639485,0.000001199962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007547685,"about_ca_system_score_gemma":0.000008054823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002519603,"about_ca_topic_score_gemma":0.00003815219,"domain_scores_codex":[0.999545,0.0000122464,0.000113359,0.0001614991,0.00005744086,0.0001104824],"domain_scores_gemma":[0.9997038,0.0002189133,0.00002787563,0.00001020552,0.00001061596,0.00002857736],"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":[0.00001473278,0.00001206597,0.002102387,0.00007095924,0.00005863038,0.000004506673,0.0005995122,8.024818e-8,0.9245118,0.00140691,0.00004907278,0.07116934],"study_design_scores_gemma":[0.0001562111,0.0001064797,0.9181288,0.0002510163,0.00002535786,0.00003226471,0.0004487704,0.0004686925,0.02222398,0.0005297253,0.05740682,0.0002218024],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965063,0.002445802,0.000005986372,0.000119493,0.00008546364,0.0001403845,0.0002710078,0.00002133993,0.000404254],"genre_scores_gemma":[0.9968758,0.0005398582,0.00239705,0.0000118785,0.00004163655,0.00001631732,0.00004007528,4.888868e-7,0.00007687194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9160265,"threshold_uncertainty_score":0.1090931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0688886986888269,"score_gpt":0.2843931401442982,"score_spread":0.2155044414554713,"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."}}