{"id":"W2027635134","doi":"10.2135/cropsci2011.01.0016","title":"Assessing the Representativeness and Repeatability of Test Locations for Genotype Evaluation","year":2011,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":100,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Representativeness heuristic; Repeatability; Biplot; Biology; Selection (genetic algorithm); Genotype; Gene–environment interaction; Statistics; Adaptation (eye); Biotechnology; Computer science; Genetics; Mathematics; Machine learning","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":[0.001498972,0.00002824557,0.00003733728,0.000004851998,0.0003525449,0.00005686549,0.0001583657,0.00001091121,0.0000254384],"category_scores_gemma":[0.0005637636,0.000009076858,0.00001053508,0.0002265549,0.0003380722,0.0001286172,0.00004037694,0.00001717833,3.785718e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005844624,"about_ca_system_score_gemma":0.00002351527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001904382,"about_ca_topic_score_gemma":0.00005677596,"domain_scores_codex":[0.999525,0.00002184005,0.00008230368,0.0001511351,0.0001396152,0.0000801369],"domain_scores_gemma":[0.9993564,0.0002797543,0.00005574506,0.00004856153,0.000237173,0.00002233122],"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":[0.000002426904,0.00002537189,0.1552386,0.000004550454,8.046429e-7,3.150818e-8,0.0005167557,0.000009353532,0.7421711,0.0004044107,0.000005339289,0.1016213],"study_design_scores_gemma":[0.00002051703,0.00004221807,0.9578572,0.000004932177,0.000005976505,0.000001238939,0.0005465453,0.003631373,0.03593939,0.001865276,0.00005782727,0.00002751855],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987164,0.00005912289,0.000138679,0.0001415329,0.00004643025,0.0001764316,0.000009057595,0.000003596787,0.0007087463],"genre_scores_gemma":[0.9992151,0.000004679565,0.0007295934,0.00001123719,0.00001879408,0.000009430994,0.000002633989,1.268634e-7,0.000008361549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8026186,"threshold_uncertainty_score":0.2711526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2349254148040905,"score_gpt":0.354014364705616,"score_spread":0.1190889499015255,"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."}}