{"id":"W4386861110","doi":"10.1002/csc2.21106","title":"Exploring the trait‐yield association patterns in different oat mega‐environments of Canada","year":2023,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Héma-Québec; Veterans Affairs Canada; Health PEI; University of Prince Edward Island; University of Saskatchewan; Brandon University; National Association of Friendship Centres","funders":"","keywords":"Biplot; Rust (programming language); Test weight; Trait; Avena; Biology; Yield (engineering); Agronomy; Crown (dentistry); Ammi; Crop; Statistics; Mathematics; Gene–environment interaction; Cultivar; Genotype","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":[0.0004807917,0.0002727079,0.0003927521,0.001515783,0.0009500236,0.0009855866,0.0003869084,0.0001286425,0.0008645999],"category_scores_gemma":[0.001015301,0.0001365597,0.0004650929,0.002242479,0.000500946,0.0001324941,0.0006118095,0.0002357779,0.00006129377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005053173,"about_ca_system_score_gemma":0.00469114,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8889806,"about_ca_topic_score_gemma":0.960853,"domain_scores_codex":[0.9995044,0.00006308642,0.00002425067,0.0001843524,0.0001294191,0.00009436404],"domain_scores_gemma":[0.9990622,0.000230739,0.0001424959,0.00006476015,0.0003651691,0.0001346747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000610929,0.00004920161,0.9225137,0.0001039036,0.0004820648,0.0003502234,0.001497752,0.001808591,0.04149925,0.0005384631,0.0007391836,0.02980678],"study_design_scores_gemma":[0.000003569005,0.00002039315,0.9972787,0.000005965022,0.00003071083,0.00002561575,0.0004983369,0.0007886587,0.0004940259,0.00003658964,0.0008085868,0.000008792844],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958628,0.0001175883,0.001093884,0.0000329492,0.000002559464,0.00001612081,0.001951097,0.00003863333,0.0008842637],"genre_scores_gemma":[0.9957649,0.00006683858,0.001990457,0.00002040749,9.641318e-7,0.00001831606,0.00159462,0.00001880173,0.0005247271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1110194,"threshold_uncertainty_score":0.2233464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1028410027020401,"score_gpt":0.1943744444122326,"score_spread":0.09153344171019251,"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."}}