{"id":"W4252689210","doi":"10.1139/x00-092","title":"Genetic gains and levels of relatedness from best linear unbiased prediction selection of<i>Eucalyptus urophylla</i>for pulp production in southeastern China","year":2000,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Forest ecology and management","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Best linear unbiased prediction; Genetic gain; Tree breeding; Eucalyptus; Biology; Selection (genetic algorithm); Trait; Diameter at breast height; Population; Progeny testing; Statistics; Mathematics; Biotechnology; Botany; Genetic variation; Woody plant; Demography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006911593,0.0001806363,0.0001309631,0.0003051883,0.0001702233,0.0001735152,0.0001311947,0.00009657618,0.0003529961],"category_scores_gemma":[0.0007386844,0.00007774327,0.0001627583,0.0001908093,0.0001688014,0.00009187379,0.0001776094,0.0001723279,0.00005292149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004023816,"about_ca_system_score_gemma":0.0002326447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006371898,"about_ca_topic_score_gemma":0.02180722,"domain_scores_codex":[0.9996978,0.000123671,0.00001581661,0.0000801986,0.00004933594,0.00003317446],"domain_scores_gemma":[0.9995912,0.0001582286,0.00009297578,0.00005034688,0.00004702545,0.00006023589],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005581673,0.0001182795,0.8457767,0.00001563622,0.0002305622,0.0003937704,0.0004420628,0.008404193,0.1245198,0.000357078,0.0001000417,0.01908384],"study_design_scores_gemma":[0.000006833133,0.00007437394,0.9898127,0.000001674284,0.00002390504,0.00007092155,0.00005708112,0.008425714,0.001382869,0.00006814154,0.00007124662,0.000004562269],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998351,0.000002759046,0.0001078245,0.000002625534,1.570917e-7,4.227056e-7,0.000008656511,0.000001107914,0.00004133202],"genre_scores_gemma":[0.9997198,0.000002588334,0.0001741891,0.000002452498,2.761432e-7,9.861944e-7,0.00004134634,0.000001091126,0.00005725625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006371898,"threshold_uncertainty_score":0.01266962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03230699160812002,"score_gpt":0.2728430857444331,"score_spread":0.2405360941363131,"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."}}