{"id":"W3086382047","doi":"10.1093/forsci/fxaa016","title":"Correspondence between Breeding Values of the Same Pinus taeda L. Genotypes from Clonal Trials and Half-Sib Seedling Progeny Trials","year":2020,"lang":"en","type":"article","venue":"Forest Science","topic":"Forest ecology and management","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"J. D. Irving (Canada)","funders":"","keywords":"Biology; Heritability; Propagule; Loblolly pine; Tree breeding; Seedling; Pinus <genus>; Seed orchard; Progeny testing; Genotype; Restricted maximum likelihood; Genetic correlation; Clonal selection; Covariance; Genetic gain; Best linear unbiased prediction; Genetic variation; Botany; Woody plant; Selection (genetic algorithm); Statistics; Genetics; Maximum likelihood; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006190826,0.0001696902,0.0005439838,0.00004726164,0.0004722409,0.0000838604,0.001049287,0.00007351372,0.0004991278],"category_scores_gemma":[0.005166604,0.0001119409,0.0001163464,0.0006738816,0.001921373,0.0004247708,0.001057917,0.000156591,0.0001036099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007081067,"about_ca_system_score_gemma":0.0000810422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006010206,"about_ca_topic_score_gemma":0.0001845163,"domain_scores_codex":[0.99732,0.0003330658,0.0006723162,0.0005725414,0.000725643,0.0003764424],"domain_scores_gemma":[0.9979851,0.001038915,0.0004966191,0.0002771719,0.00002101892,0.0001811411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002590019,0.0000614091,0.9024227,0.00003026213,0.00007608467,0.000009688199,0.003807018,0.01271653,0.05207385,0.02262315,0.002205175,0.003715173],"study_design_scores_gemma":[0.0007471727,0.0003149012,0.9217953,0.00005707243,0.0001550935,0.000002682104,0.0002296574,0.007670764,0.009982976,0.05705707,0.001706489,0.0002808143],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927499,0.0001291157,0.003823741,0.00148336,0.0004219785,0.0007625049,0.00003767047,0.00003349068,0.00055824],"genre_scores_gemma":[0.9972691,0.00001603875,0.001940916,0.0004371608,0.0001715961,0.00002001142,0.000002661973,0.000008058496,0.0001344686],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04209087,"threshold_uncertainty_score":0.7079378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06705301052872632,"score_gpt":0.2931763128900272,"score_spread":0.2261233023613008,"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."}}