{"id":"W2142645068","doi":"10.1515/sg-2005-0033","title":"Heritability and Correlations for Biomass Production and Allocation in White Spruce Seedlings","year":2005,"lang":"en","type":"article","venue":"Silvae genetica/Silvae Genetica","topic":"Forest ecology and management","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Environment and Protected Areas; University of Alberta","funders":"University of Alberta","keywords":"Heritability; Biology; Biomass (ecology); Open pollination; Shoot; Dry weight; Biomass partitioning; Genetic correlation; Botany; Trait; Horticulture; Agronomy; Genetic variation; Pollen","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000686452,0.0002285036,0.0002204314,0.0005732991,0.0001419907,0.0002326578,0.0001147611,0.0001250475,0.0006341554],"category_scores_gemma":[0.0009966504,0.0001686264,0.0001665265,0.0002526476,0.0003286265,0.0001111714,0.0001856121,0.0001845302,0.00008885992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001910056,"about_ca_system_score_gemma":0.00009268643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002709838,"about_ca_topic_score_gemma":0.004108721,"domain_scores_codex":[0.9997023,0.00008006889,0.00001868137,0.00009482915,0.00006837626,0.00003570794],"domain_scores_gemma":[0.9986799,0.0007929611,0.0002149224,0.0001386202,0.00009736641,0.00007621024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002620803,0.00006998231,0.8241168,0.00002913026,0.0002517402,0.0002901033,0.0006664189,0.002456336,0.1624065,0.0003068889,0.0001059621,0.00903795],"study_design_scores_gemma":[0.000002187491,0.00002933041,0.9985661,0.000001117273,0.00001011593,0.00003889389,0.00003252199,0.0005274108,0.0007163786,0.0000380176,0.00003539924,0.000002670869],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994076,0.00002443852,0.000347155,0.000001702837,5.653075e-7,0.000001799939,0.00007378866,0.000009076545,0.0001338492],"genre_scores_gemma":[0.9997136,0.000007236901,0.0001308434,8.975621e-7,6.270292e-7,0.000002239289,0.00007035157,0.000002210285,0.00007198036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002709838,"threshold_uncertainty_score":0.0053882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007395611017702676,"score_gpt":0.2178837719733133,"score_spread":0.2104881609556106,"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."}}