{"id":"W4220926454","doi":"10.5376/mgg.2022.13.0002","title":"Genetic Diversity Analysis of Maize in Baoshan Yunnan by SSR Markers","year":2022,"lang":"en","type":"article","venue":"Maize Genomics and Genetics","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Genetic diversity; Genetic similarity; Allele; Similarity (geometry); Biology; Genetic distance; Diversity index; Veterinary medicine; Statistics; Biotechnology; Genetic variation; Mathematics; Genetics; Demography; Population; Ecology; Sociology; Gene; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0002624363,0.0001679905,0.000286375,0.0001864263,0.000281698,0.00001953324,0.0003104974,0.00008414506,0.0001363478],"category_scores_gemma":[0.000009597257,0.0001959013,0.0001283138,0.0002953974,0.00008855395,0.000001367855,0.001148115,0.0000987702,9.196526e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002430994,"about_ca_system_score_gemma":0.00004501458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000228731,"about_ca_topic_score_gemma":0.0001277173,"domain_scores_codex":[0.9987556,0.00008525411,0.000269447,0.0004180564,0.000182502,0.0002890979],"domain_scores_gemma":[0.9994357,0.00001497341,0.0001234139,0.0002899599,0.0000321586,0.0001037429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003827557,0.000297948,0.7185357,0.00005179059,0.001113751,0.00002015618,0.0008037728,0.01640207,0.2484047,0.00005231679,0.008428801,0.005506173],"study_design_scores_gemma":[0.002480241,0.001201314,0.8495693,0.000007617427,0.001074863,0.00002351028,0.002874961,0.006738033,0.005520277,0.0003019192,0.1292204,0.000987522],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958273,0.002372715,0.0002368218,0.0000673852,0.00008714762,0.000135975,0.0007031718,0.000004163184,0.0005653098],"genre_scores_gemma":[0.9960756,0.002052182,0.0008154843,0.0002340991,0.0000252734,0.000005376684,0.0001992084,0.00001130736,0.0005814787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2428844,"threshold_uncertainty_score":0.7988625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006582095341075408,"score_gpt":0.1880249265997687,"score_spread":0.1814428312586933,"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."}}