{"id":"W4388086836","doi":"10.54910/sabrao2023.55.5.6","title":"AEGILOPS L. GENETIC DIVERSITY IN SOUTHWESTERN REGION OF UZBEKISTAN","year":2023,"lang":"en","type":"article","venue":"SABRAO Journal of Breeding and Genetics","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Genetics","keywords":"Aegilops; Biology; Genetic diversity; Aegilops tauschii; Loss of heterozygosity; Botany; Microsatellite; Allele; Genus; Gene pool; Ploidy; Genetics; Gene; Population; Chromosome","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":[0.0002518537,0.00007548043,0.0001831106,0.00005054079,0.00008485689,0.0000144763,0.000147147,0.00006191552,0.000009872268],"category_scores_gemma":[0.00001641067,0.00003465768,0.00006121236,0.000263178,0.00006888169,0.0000220544,0.0001381159,0.00009428111,0.000001470624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005621419,"about_ca_system_score_gemma":0.000006294437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004693082,"about_ca_topic_score_gemma":0.0001662756,"domain_scores_codex":[0.9992824,0.000036679,0.0002747383,0.00009874823,0.0001460617,0.0001613565],"domain_scores_gemma":[0.9996044,0.0000671844,0.0001508787,0.00002746117,0.00007964569,0.00007042943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000046628,0.00003386067,0.7997233,0.00001780064,0.0000124015,0.0001001745,0.0007439119,0.00008767204,0.1070375,0.00002640217,0.0002505044,0.09191985],"study_design_scores_gemma":[0.0002655228,0.0006868675,0.9942923,0.00005773744,0.00001839436,0.000154347,0.0007413302,0.00009280601,0.00126824,0.001615041,0.0007106893,0.00009676033],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99837,0.0009215584,0.00000763257,0.0003687731,0.0001680008,0.00003377823,0.000006880452,0.000005021825,0.0001183787],"genre_scores_gemma":[0.9976223,0.00200314,0.0001049683,0.00002994811,0.0001758407,1.706985e-7,0.000001785034,8.070925e-7,0.00006110593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1945689,"threshold_uncertainty_score":0.1413299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05094157041449299,"score_gpt":0.2347384035680267,"score_spread":0.1837968331535337,"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."}}