{"id":"W2069976767","doi":"10.2135/cropsci2009.03.0133","title":"Identifying Essential Test Locations for Oat Breeding in Eastern Canada","year":2010,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":98,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada; Government of New Brunswick; Mining Association of Canada; Atlantic Industries (Canada); Agriculture and Agri-Food Canada","funders":"","keywords":"Breed; Biplot; Avena; Biology; Cultivar; Yield (engineering); Test weight; Agriculture; Breeding program; Test (biology); Genotype; Agronomy; Biotechnology; Ecology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0006050633,0.0005355321,0.000488317,0.001355186,0.001392192,0.0007945846,0.001186645,0.0002418878,0.001115141],"category_scores_gemma":[0.001307054,0.000228416,0.0003722095,0.00153147,0.0006542752,0.0003248122,0.0008473034,0.0003854088,0.000210099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006685995,"about_ca_system_score_gemma":0.01045973,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7497035,"about_ca_topic_score_gemma":0.9594582,"domain_scores_codex":[0.999379,0.00006370019,0.0000429301,0.0001491483,0.0001932561,0.0001719287],"domain_scores_gemma":[0.9977611,0.0002984622,0.000479341,0.0001303251,0.0008743025,0.0004563491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009910573,0.0002871643,0.5702696,0.0003162547,0.00009909198,0.002053726,0.002520668,0.003193868,0.312043,0.0006984567,0.001604257,0.1059229],"study_design_scores_gemma":[0.00002556616,0.0002495676,0.9767573,0.00003204067,0.00007948328,0.0002609462,0.002042701,0.002952984,0.01428907,0.0001122881,0.003155827,0.00004215597],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899829,0.0002940588,0.005351668,0.00007070258,0.000007457464,0.0002058782,0.001124856,0.0001249879,0.002837575],"genre_scores_gemma":[0.9707165,0.0002306558,0.02507916,0.00005349467,0.00000218433,0.00007993474,0.001957389,0.00004461113,0.001836039],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2502965,"threshold_uncertainty_score":0.5035411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03353864837941563,"score_gpt":0.2413190203045868,"score_spread":0.2077803719251711,"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."}}