{"id":"W1890114395","doi":"10.1139/gen-2013-0048","title":"Comparative analysis of genetic diversity in Canadian barley assessed by SSR, DarT, and pedigree data","year":2013,"lang":"en","type":"article","venue":"Genome","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; Université Laval","funders":"","keywords":"Dendrogram; Biology; Genetic diversity; Genetic distance; Dart; Germplasm; Genetics; Locus (genetics); Linkage disequilibrium; Population; Similarity (geometry); Allele; Statistics; Genetic variation; Mathematics; Botany; Haplotype; Gene; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007204675,0.0001910912,0.0002975624,0.002498553,0.0009868296,0.0006231436,0.0003359021,0.0001353375,0.0006877338],"category_scores_gemma":[0.001981665,0.0001210259,0.0002807329,0.003387451,0.0002817057,0.0001564322,0.0002942008,0.0001588648,0.00008930326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003389523,"about_ca_system_score_gemma":0.004043464,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7551964,"about_ca_topic_score_gemma":0.8548688,"domain_scores_codex":[0.9995334,0.00004594817,0.00001774466,0.00009809355,0.0002296298,0.00007514827],"domain_scores_gemma":[0.9993231,0.0001177473,0.0001114424,0.00004315564,0.0003113091,0.0000932924],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005138221,0.000042934,0.8317731,0.000170921,0.000453381,0.0006577481,0.00389936,0.003056553,0.05221156,0.0009928641,0.0005874651,0.1056403],"study_design_scores_gemma":[0.000007342463,0.00002511621,0.9960694,0.000008623504,0.00004573067,0.0001446131,0.0003444739,0.00117399,0.0008439723,0.00008442387,0.001237974,0.00001430417],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977978,0.0002267085,0.0008462201,0.00002462037,0.000001883193,0.000008388699,0.0004879503,0.00001246287,0.0005938834],"genre_scores_gemma":[0.9945599,0.0004065432,0.003210971,0.00001509095,0.000002446681,0.00001260156,0.001159351,0.000009884688,0.000623108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2448036,"threshold_uncertainty_score":0.4924906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05052887742787524,"score_gpt":0.244465157891505,"score_spread":0.1939362804636297,"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."}}