{"id":"W2067517505","doi":"10.2135/cropsci2010.09.0548","title":"Genotype × Location Interaction Patterns and Testing Strategies for Oat in the Canadian Prairies","year":2011,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cargill (Canada); University of Saskatchewan; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; Ministry of Strategy and Finance; Ministry of Agriculture - Saskatchewan; University of Saskatchewan","keywords":"Avena; Biology; Agronomy; Grain yield; Poaceae; Gene–environment interaction; Yield (engineering); Genotype; Test weight; Selection (genetic algorithm); Animal science; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003077068,0.00003149156,0.00002468587,0.0000125565,0.0003533938,0.0002030601,0.0001379997,0.00001417436,0.000004752035],"category_scores_gemma":[0.00006568178,0.00001084629,0.000003857077,0.0002347416,0.00008750697,0.0001562721,0.00001111226,0.00003054332,0.000001148885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001222239,"about_ca_system_score_gemma":0.0000411431,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1619201,"about_ca_topic_score_gemma":0.747648,"domain_scores_codex":[0.9996511,0.000007458712,0.00004872829,0.0001037932,0.00006046739,0.0001285027],"domain_scores_gemma":[0.9998038,0.00006317373,0.00002150183,0.00001695667,0.00006359145,0.0000310091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001035005,0.00002107505,0.6251408,0.00001745941,0.000001194007,0.000002654703,0.007916284,0.00004654592,0.1378271,0.006110211,0.00006252277,0.2228439],"study_design_scores_gemma":[0.00001187684,0.00005750718,0.9947907,0.00001052778,9.143948e-7,0.000006408796,0.002365398,0.0006332623,0.000660041,0.001037844,0.0003872114,0.00003830484],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998316,0.00001516677,0.00001659571,0.0003461989,0.0000618152,0.00008651425,0.000004654174,0.000003846645,0.001149178],"genre_scores_gemma":[0.9996916,0.000001773908,0.000173997,0.00008675102,0.00003277366,0.000005349285,0.000002293021,1.353218e-7,0.000005341573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5857279,"threshold_uncertainty_score":0.8436608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1447980511569749,"score_gpt":0.2520067650203223,"score_spread":0.1072087138633473,"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."}}