{"id":"W1995523522","doi":"10.2135/cropsci2002.3850","title":"On‐Farm Strip Trials vs. Replicated Performance Trials for Cultivar Evaluation","year":2002,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; Ministry of Agriculture, Food and Rural Affairs; University of Guelph","funders":"","keywords":"Cultivar; Best linear unbiased prediction; Biology; Reliability (semiconductor); Agronomy; Statistics; Mathematics; Selection (genetic algorithm); Computer science","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":[0.01320803,0.0001188034,0.0003210359,0.00002935339,0.0006367906,0.0002158917,0.000448356,0.0000611311,0.0004721273],"category_scores_gemma":[0.006200864,0.00004149232,0.0001106101,0.0006476396,0.0001366866,0.00008593471,0.0000361638,0.00006294261,0.00005409229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003938957,"about_ca_system_score_gemma":0.00001831185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002195082,"about_ca_topic_score_gemma":0.00001104351,"domain_scores_codex":[0.9979742,0.0001701107,0.0004857859,0.0004561419,0.0005799821,0.0003337364],"domain_scores_gemma":[0.9980916,0.001118107,0.0002933838,0.00009575141,0.0002909464,0.0001102165],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000485536,0.00004184385,0.0001785786,0.000002745324,0.00000329457,1.247875e-7,0.00004239753,0.0001039972,0.6127512,0.0002575845,0.001243476,0.3853262],"study_design_scores_gemma":[0.002621524,0.003384893,0.1338839,0.0001511542,0.0001549187,0.00001656629,0.0001847775,0.2634147,0.5204275,0.003419034,0.07135158,0.0009894918],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995793,0.0001488109,0.00001663986,0.0009799394,0.0003629201,0.0008885061,0.00007120431,0.00003473773,0.001704241],"genre_scores_gemma":[0.9987865,0.0001093502,0.0002043861,0.000201124,0.0002751535,0.00006617976,0.00002183522,6.537719e-7,0.0003348209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3843367,"threshold_uncertainty_score":0.7423462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4255987498067616,"score_gpt":0.3573279872156186,"score_spread":0.06827076259114295,"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."}}