{"id":"W2156839557","doi":"10.1139/x10-014","title":"Genetic control of wood properties in Picea glauca — an analysis of trends with cambial age","year":2010,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":100,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada; FPInnovations; Fonds Québécois de la Recherche sur la Nature et les Technologies; Génome Québec; Genome Canada","keywords":"Heritability; Pith; Tracheid; Biology; Bark (sound); Botany; Pinus <genus>; Genetic gain; Tree breeding; Horticulture; Genetic variation; Woody plant; Evolutionary biology; Ecology; Genetics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0004303015,0.00009952256,0.0003569525,0.002032145,0.00004346528,0.00003975217,0.0002724934,0.00007102262,0.0001374246],"category_scores_gemma":[0.0000368426,0.00006940318,0.00008173553,0.0009254513,0.0002432071,0.000134185,0.0000046604,0.0004105023,7.395075e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007716681,"about_ca_system_score_gemma":0.0004730345,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02749317,"about_ca_topic_score_gemma":0.8512952,"domain_scores_codex":[0.9988384,0.00007579545,0.0003301191,0.00007864451,0.000324068,0.0003530031],"domain_scores_gemma":[0.9991005,0.000033177,0.00005326659,0.0002016227,0.0002689982,0.000342413],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001456164,0.00004491854,0.9621525,0.00004344756,0.0007085854,0.000314897,0.001993121,0.02231513,0.008297886,0.00005299948,0.0000488087,0.003882023],"study_design_scores_gemma":[0.001095186,0.0009109335,0.9895454,0.00005807052,0.0002027782,0.00002216299,0.0002941201,0.005211313,0.002272888,0.00002836962,0.0002517908,0.0001070045],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987406,0.0005521229,0.000009664739,0.00006639193,0.00005157025,0.00007290014,0.00002074372,0.000002851569,0.0004831634],"genre_scores_gemma":[0.9996673,0.00001089283,0.0001241455,0.000002245628,0.00005730636,0.000004501369,0.000003261571,0.00001729319,0.0001130857],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.823802,"threshold_uncertainty_score":0.9789829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02787554111234201,"score_gpt":0.2511872921563638,"score_spread":0.2233117510440218,"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."}}