{"id":"W3114273212","doi":"10.1002/csc2.20438","title":"Breeding strategies in evaluation of forage barley","year":2020,"lang":"en","type":"article","venue":"Crop Science","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Alberta Crop Industry Development Fund; Agriculture and Agri-Food Canada; Agriculture Food and Rural Development","funders":"Alberta Livestock and Meat Agency","keywords":"Hordeum vulgare; Forage; Biology; Germplasm; Ruminant; Agronomy; Grazing; Animal science; Genetic gain; Crop; Selection (genetic algorithm); Biotechnology; Poaceae; Genetic variation","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.001836636,0.0004536718,0.0003025739,0.0008762201,0.000480755,0.0007324392,0.0007898516,0.0002705818,0.001279193],"category_scores_gemma":[0.001117415,0.0002119072,0.0001748848,0.001122672,0.0002361856,0.0002829034,0.0004514543,0.0003250842,0.0004989742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00135046,"about_ca_system_score_gemma":0.001019117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01155692,"about_ca_topic_score_gemma":0.02278626,"domain_scores_codex":[0.9990323,0.0003601837,0.00006779603,0.0002110313,0.0002260331,0.0001027113],"domain_scores_gemma":[0.999345,0.0001200024,0.0001349293,0.00006387346,0.0002374156,0.00009873969],"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":[0.0005265502,0.0002727504,0.1045657,0.0002391484,0.00009117932,0.0006487871,0.001174169,0.001706237,0.7198572,0.001099399,0.0006124897,0.1692063],"study_design_scores_gemma":[0.0000619176,0.001675641,0.7700174,0.0001294546,0.0001882426,0.0009743217,0.001407786,0.006915047,0.1891438,0.0006577133,0.02876903,0.00005963832],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9707441,0.00149661,0.01903504,0.0001386748,0.00002868184,0.0003299484,0.0005264341,0.0001716598,0.007528687],"genre_scores_gemma":[0.9317952,0.0008253463,0.05873699,0.0001442061,0.00001129644,0.000282884,0.000898112,0.00008997894,0.007215918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01155692,"threshold_uncertainty_score":0.02297932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09101397964334011,"score_gpt":0.3043934279962472,"score_spread":0.2133794483529071,"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."}}