{"id":"W1993292025","doi":"10.1046/j.1439-0523.2002.739124.x","title":"Genetic variation, heritability and progeny testing in meadow bromegrass","year":2002,"lang":"en","type":"article","venue":"Plant Breeding","topic":"Turfgrass Adaptation and Management","field":"Environmental Science","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Biology; Open pollination; Heritability; Forage; Agronomy; Genetic gain; Genetic variation; Pasture; Dry matter; Plant breeding; Progeny testing; Pollination; Selection (genetic algorithm); Botany; Pollen; Genetics","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":[0.0001714218,0.00006913768,0.00006932639,0.000028299,0.00006479185,0.00003466172,0.0000654412,0.0000217349,0.0002785883],"category_scores_gemma":[0.00008258932,0.00006676679,0.000008246468,0.0001859179,0.0000306115,0.0001159414,0.00007403639,0.00005173451,0.00004756918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006913545,"about_ca_system_score_gemma":9.390822e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005152954,"about_ca_topic_score_gemma":0.0004163742,"domain_scores_codex":[0.9993294,0.00001904408,0.0001425902,0.0002049597,0.0001461445,0.0001578923],"domain_scores_gemma":[0.9997891,0.00004995047,0.00003898899,0.00007058165,0.000003138367,0.00004826181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000003028689,0.00006581837,0.9559566,0.00001867395,0.000004141377,0.00001326336,0.001263031,0.0009324301,0.00902596,0.0001683862,0.0004537238,0.03209499],"study_design_scores_gemma":[0.0001525454,0.00001928522,0.9418691,0.000009959647,0.00000380131,0.00001133638,0.00006778307,0.05645673,0.00002446677,0.0001960553,0.001103031,0.00008588895],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912598,0.00004441897,0.0005768823,0.0002822565,0.00005481672,0.000203595,0.000003539045,0.000045692,0.007528986],"genre_scores_gemma":[0.992633,0.00001056158,0.007134276,0.00007978238,0.0000147096,0.00001592289,0.000001071545,0.000004893525,0.0001057403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05552429,"threshold_uncertainty_score":0.3050346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04063623002784316,"score_gpt":0.1942200240751273,"score_spread":0.1535837940472841,"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."}}