{"id":"W7036421838","doi":"","title":"A Canadian oat genomic selection study incorporating genetic and environmental information","year":2021,"lang":"en","type":"dissertation","venue":"University Library (University of Saskatchewan)","topic":"Mediterranean and Iberian flora and fauna","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Heritability; Genomic selection; Selection (genetic algorithm); Avena; Trait; Population; Best linear unbiased prediction; Plant breeding; Genetic variation; SNP genotyping","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0009253523,0.000735767,0.0004426681,0.0007311848,0.001964712,0.0006625897,0.0007057468,0.0003308986,0.001441624],"category_scores_gemma":[0.001135737,0.0001842228,0.001174754,0.001856203,0.0006111329,0.000211229,0.0004020738,0.0005668392,0.000216343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0123999,"about_ca_system_score_gemma":0.01076871,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9503556,"about_ca_topic_score_gemma":0.9669989,"domain_scores_codex":[0.9995467,0.00005843819,0.00001466045,0.0001584405,0.0001405498,0.00008117688],"domain_scores_gemma":[0.9993468,0.0001081911,0.00005089343,0.00006228847,0.0002936985,0.0001381562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002111813,0.001499087,0.7764812,0.000256431,0.001771622,0.003744847,0.002756241,0.01491305,0.06151788,0.00377412,0.008849363,0.1223243],"study_design_scores_gemma":[0.0001987146,0.000526619,0.9611028,0.00002446754,0.0005258002,0.0003212419,0.001176877,0.02064732,0.002450102,0.0003578743,0.01257861,0.00008969198],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927205,0.0002860743,0.002081407,0.0002195867,0.00001353271,0.0001032564,0.002341557,0.00006941854,0.002164745],"genre_scores_gemma":[0.9837546,0.0003990187,0.005433777,0.0002288358,0.00001076485,0.00006698284,0.00466827,0.00005710952,0.005380643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04964435,"threshold_uncertainty_score":0.09987336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004716778932752196,"score_gpt":0.1324099851519286,"score_spread":0.1276932062191765,"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."}}