{"id":"W2050054634","doi":"10.2135/cropsci2000.4011","title":"Genotype × Region Interaction for Two‐Row Barley Yield in Canada","year":2000,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Agriculture and Agri-Food Canada; Nova Scotia Department of Agriculture","funders":"","keywords":"Hordeum vulgare; Biology; Genotype; Selection (genetic algorithm); Yield (engineering); Subdivision; Adaptation (eye); Local adaptation; Grain yield; Poaceae; Variance (accounting); Breeding program; Agronomy; Geography; Cultivar; Demography; Genetics; Population","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000144913,0.00004774639,0.00005073604,0.000008632641,0.0001728108,0.00005983272,0.0002079601,0.00001407929,0.0002036444],"category_scores_gemma":[0.00003315836,0.00001991025,0.00001316202,0.000310624,0.00003656793,0.0000947631,0.00001477161,0.00004436768,0.000007152396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007828631,"about_ca_system_score_gemma":0.00008241211,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6134417,"about_ca_topic_score_gemma":0.8886867,"domain_scores_codex":[0.9993831,0.000005478941,0.00008703666,0.000187062,0.0001261804,0.0002111289],"domain_scores_gemma":[0.9997854,0.00007402278,0.00002200328,0.00002805693,0.0000324197,0.00005815106],"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":[0.00003823614,0.00001305685,0.01919582,0.00000273581,7.123206e-7,0.000006319891,0.00006978369,0.0006330793,0.5080928,0.0001157654,0.001705381,0.4701263],"study_design_scores_gemma":[0.0002625462,0.0003600566,0.8077739,0.0000980334,0.000005731093,0.00006163841,0.0005880059,0.01575227,0.04731396,0.0007086607,0.1265574,0.0005178269],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964385,0.00002982747,0.000003518368,0.0007137259,0.0002002418,0.0000839444,0.000005916342,0.000005745211,0.002518559],"genre_scores_gemma":[0.999299,0.00001671097,0.00004689604,0.0002411873,0.00008418532,0.00000398998,0.000003221639,2.280836e-7,0.0003045594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.788578,"threshold_uncertainty_score":0.3891324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04413189995214815,"score_gpt":0.2203749875109376,"score_spread":0.1762430875587895,"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."}}