{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005710283,0.0001655636,0.0001996305,0.0007419727,0.0002617814,0.000329191,0.0002492993,0.0001578097,0.00207436],"category_scores_gemma":[0.001741856,0.0001073469,0.0001435157,0.0003782369,0.0001793743,0.0001983283,0.0002363399,0.0002955669,0.0003664066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001818608,"about_ca_system_score_gemma":0.00008555094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001320933,"about_ca_topic_score_gemma":0.005646686,"domain_scores_codex":[0.9995043,0.0001667732,0.00003230027,0.0001866052,0.00007285958,0.00003720799],"domain_scores_gemma":[0.9970298,0.001884954,0.0002695453,0.0002921955,0.0002618429,0.0002616537],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001730285,0.0002421489,0.7771335,0.00008478836,0.0003339419,0.000449195,0.001462528,0.0008971233,0.1932822,0.0005096309,0.0004589534,0.02341571],"study_design_scores_gemma":[0.000008142745,0.0001552472,0.9961163,0.000003779213,0.00003324248,0.0001589514,0.000103118,0.0002710383,0.002821898,0.0000568249,0.0002646536,0.000006809048],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984919,0.0000272733,0.0002107085,0.000002867833,0.000002627648,0.000004407443,0.0003934454,0.000006780916,0.0008600443],"genre_scores_gemma":[0.998426,0.00001504063,0.0001590391,0.000007554455,0.000001442649,0.000009439027,0.000797509,0.00001117306,0.0005728905],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00207436,"threshold_uncertainty_score":0.006939411,"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."}}