{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003465257,0.0006132688,0.000729884,0.001309512,0.001483972,0.001096994,0.002067971,0.0004876347,0.001153336],"category_scores_gemma":[0.005945853,0.0004095573,0.001209345,0.002142944,0.001588171,0.0004849182,0.0007201033,0.0007696409,0.0001244249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009481843,"about_ca_system_score_gemma":0.007542474,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8753738,"about_ca_topic_score_gemma":0.9492399,"domain_scores_codex":[0.996042,0.001367421,0.0001458523,0.001453853,0.0005604898,0.000430438],"domain_scores_gemma":[0.9957454,0.002101356,0.0005334145,0.0005748714,0.0007349181,0.0003101112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009011094,0.0002250386,0.9041995,0.00007525774,0.0008680467,0.0005655807,0.001873662,0.009441132,0.04472893,0.001791954,0.0007759726,0.03455376],"study_design_scores_gemma":[0.00002172463,0.0001636281,0.9827822,0.000008853148,0.0001713484,0.00007895098,0.0006469021,0.0135691,0.001258994,0.000247758,0.0009984418,0.00005213894],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950891,0.0001492396,0.00314826,0.00007054952,0.000005076601,0.00004996802,0.0005342747,0.00005958954,0.0008938931],"genre_scores_gemma":[0.9940616,0.00004529651,0.004522196,0.00003010574,0.000001131252,0.00003278098,0.0005192287,0.00002781163,0.0007596821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1246262,"threshold_uncertainty_score":0.2507203,"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."}}