{"id":"W2005254076","doi":"10.1007/s00122-003-1534-3","title":"Effects of inbreeding on coastal Douglas fir growth and yield in operational plantations: a model-based approach","year":2003,"lang":"en","type":"article","venue":"Theoretical and Applied Genetics","topic":"Forest ecology and management","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"Government of British Columbia; Canadian Forest Service; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Forest Genetics Council of British Columbia","keywords":"Inbreeding depression; Biology; Seed orchard; Inbreeding; Genetic gain; Tree breeding; Agronomy; Competition (biology); Douglas fir; Sowing; Mating; Progeny testing; Botany; Selection (genetic algorithm); Ecology; Woody plant; Genetic variation; Population; Demography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001073575,0.00007099219,0.0000829604,0.00002123187,0.00004651899,0.000007012703,0.00004056178,0.00004741513,0.00004211576],"category_scores_gemma":[0.00002242117,0.00005958497,0.000007541374,0.0000530265,0.0004825188,0.00001054197,0.00004421093,0.0000642575,0.000002918393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005458054,"about_ca_system_score_gemma":0.000004216934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002316526,"about_ca_topic_score_gemma":0.000005170931,"domain_scores_codex":[0.9995463,0.00001775332,0.00009484933,0.0001485966,0.00008536032,0.0001071441],"domain_scores_gemma":[0.9997607,0.000139898,0.0000152498,0.00004355777,0.000001467814,0.00003906119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004869278,0.0001180419,0.001989064,0.00003447786,0.000003003201,6.987111e-7,0.0001054549,0.02408569,0.002258874,0.9711987,0.00002177083,0.0001355788],"study_design_scores_gemma":[0.002335365,0.0004386448,0.04446574,0.00003257222,0.00004811388,0.000003790979,0.0001339557,0.2069151,0.06090751,0.6843567,0.00002799483,0.0003345235],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9390817,0.00001543304,0.03072077,0.00005963964,0.00001417814,0.0002606659,0.000002922981,0.000005521603,0.02983918],"genre_scores_gemma":[0.9936829,0.00002451191,0.005954682,0.000282027,0.000004609892,0.00003491619,0.000003461635,0.000004008896,0.000008922937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.286842,"threshold_uncertainty_score":0.2429805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005587170204208503,"score_gpt":0.1892969754510281,"score_spread":0.1837098052468196,"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."}}