{"id":"W2152639136","doi":"10.2135/cropsci2005.0106a","title":"Identifying Isoyield Environments for Field Pea Production","year":2005,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Agriculture Food and Rural Development","funders":"Commonwealth Scientific and Industrial Research Organisation","keywords":"Cultivar; Sativum; Biology; Field pea; Statistics; Normalization (sociology); Biotechnology; Agronomy; Mathematics","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":[0.0002875466,0.00004888029,0.00004161322,0.000009234097,0.0004077988,0.0001001666,0.000228277,0.00002323679,0.00009799215],"category_scores_gemma":[0.00008412817,0.00002004876,0.00002434155,0.0001609831,0.0000631857,0.0001640586,0.00004624529,0.00003568961,0.00003232116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001333527,"about_ca_system_score_gemma":0.000004337041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002147236,"about_ca_topic_score_gemma":0.00005939241,"domain_scores_codex":[0.9993123,0.000003777576,0.00008023347,0.0002384084,0.0001629662,0.0002022464],"domain_scores_gemma":[0.9998264,0.0000383895,0.00003279771,0.00003552839,0.00001559233,0.00005130518],"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":[0.000002475506,0.00001028227,0.001183621,0.000001142811,4.263512e-7,8.919435e-8,0.00004727058,0.00002156732,0.8862366,0.00006638492,0.0006370535,0.1117931],"study_design_scores_gemma":[0.00006071619,0.0001799747,0.07331983,0.00001909151,0.000005886565,0.00001033627,0.0001900638,0.0008980163,0.7514566,0.0004916281,0.1731675,0.000200309],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959495,0.00005938094,0.0001692513,0.002642108,0.0003050107,0.0001189116,0.000003704715,0.00001317187,0.0007389649],"genre_scores_gemma":[0.9971523,0.00002316191,0.0009519034,0.0002146991,0.000451615,0.000006806206,0.000002795927,2.492611e-7,0.001196422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1725305,"threshold_uncertainty_score":0.31365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05223670415515603,"score_gpt":0.2458826914784401,"score_spread":0.1936459873232841,"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."}}