{"id":"W3010155534","doi":"10.5539/jas.v12n4p271","title":"Genetic Diversity Analysis of Five Egyptian Buffalo Populations Using Microsatellite Markers","year":2020,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Microsatellite; Biology; Allele; Locus (genetics); Genetic diversity; Loss of heterozygosity; Inbreeding; Genetics; Population; Null allele; Species richness; Veterinary medicine; Gene; Ecology; Demography","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":[0.0004449573,0.0001267021,0.0001876694,0.0011114,0.0002262425,0.0003533564,0.0001626165,0.000127829,0.0005297973],"category_scores_gemma":[0.0005584693,0.00008282721,0.0001534225,0.000733171,0.0002015601,0.000143266,0.0002728106,0.0001085024,0.00005139642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002705326,"about_ca_system_score_gemma":0.0002437547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002834846,"about_ca_topic_score_gemma":0.004398601,"domain_scores_codex":[0.9998142,0.00003434751,0.00002304143,0.00005161042,0.00004538526,0.00003140578],"domain_scores_gemma":[0.999763,0.00003895901,0.00006537436,0.00001201446,0.0000847265,0.00003589188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008558973,0.0001821887,0.7547519,0.000141962,0.0003370458,0.0005848982,0.004307463,0.001378774,0.1750759,0.0004491744,0.000146635,0.06178816],"study_design_scores_gemma":[0.00003740551,0.0004028315,0.9877708,0.00002806391,0.00008833579,0.0003420566,0.000959821,0.001859197,0.006943117,0.00009947518,0.001450736,0.00001822764],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995665,0.00003681771,0.0002056716,0.000002760004,3.682877e-7,0.000007420404,0.00004523851,0.000001932047,0.0001332149],"genre_scores_gemma":[0.9975144,0.00006751938,0.001715887,0.000006381932,0.00000175776,0.00001970849,0.000379682,0.00000151188,0.0002931085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002834846,"threshold_uncertainty_score":0.005636692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02165393572930511,"score_gpt":0.2472562575960781,"score_spread":0.225602321866773,"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."}}