{"id":"W2954592959","doi":"10.5539/jas.v11n10p250","title":"Genetic Variability of Isolates of Ramulispora sorghi From Cáceres-MT, Brazil","year":2019,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Plant Pathogens and Fungal Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação de Amparo à Pesquisa do Estado de Mato Grosso; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Sorghum; Genetic variability; Biology; Cultivar; Genetic variation; Veterinary medicine; Genetic resources; Horticulture; Genotype; Agronomy; Biotechnology; Genetics; Gene","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002412516,0.0002847576,0.0002638942,0.001107126,0.0003793227,0.0003994741,0.0002219643,0.0002152482,0.000523452],"category_scores_gemma":[0.0006494169,0.0001130561,0.0001854318,0.0005122105,0.0002155984,0.0001002315,0.0002420802,0.0001715187,0.0001776099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003626658,"about_ca_system_score_gemma":0.0002797428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01452963,"about_ca_topic_score_gemma":0.02703867,"domain_scores_codex":[0.9996873,0.00003270755,0.00002835966,0.0001081399,0.00009451687,0.00004895597],"domain_scores_gemma":[0.9997469,0.00004877006,0.00007342853,0.00002503295,0.00006908005,0.00003674118],"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":[0.00020436,0.0001248448,0.1898619,0.0001320145,0.00006995167,0.0007768626,0.004358076,0.000114862,0.7877183,0.0001973651,0.0001207665,0.01632077],"study_design_scores_gemma":[0.00001660283,0.0003467777,0.9746186,0.00003784295,0.00005462923,0.00193035,0.001591976,0.0003403089,0.016542,0.00006352604,0.004441624,0.00001596427],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984229,0.0002011955,0.0001721276,0.00001951083,0.000002566851,0.00002370641,0.0002246361,0.000006404397,0.000926883],"genre_scores_gemma":[0.9981343,0.0001549583,0.0005947021,0.0000166042,0.000002129419,0.00001513057,0.0007646416,0.000004216235,0.0003134528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01452963,"threshold_uncertainty_score":0.02889013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004738894011819404,"score_gpt":0.2149064840829605,"score_spread":0.2101675900711411,"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."}}