{"id":"W2102355386","doi":"10.1139/x03-176","title":"Rapid assessment of wood density of live trees using the Resistograph for selection in tree improvement programs","year":2003,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Forest ecology and management","field":"Environmental Science","cited_by":154,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"North Carolina State University; U.S. Department of Agriculture; U.S. Department of Energy","keywords":"Heritability; Diallel cross; Tree breeding; Selection (genetic algorithm); Loblolly pine; Genetic correlation; Biology; Tree (set theory); Mating design; Genetic gain; Mathematics; Statistics; Genetic variation; Pinus <genus>; Botany; Woody plant; Evolutionary biology; Genetics; Computer science; Hybrid","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":[0.0007643123,0.0004777213,0.0004386776,0.0006875654,0.0001291458,0.0002545502,0.0004929761,0.000231502,0.0009646992],"category_scores_gemma":[0.0008737348,0.0001978019,0.0001993412,0.0002499352,0.0001537567,0.0002974337,0.0003811166,0.0003645807,0.0002764176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001760716,"about_ca_system_score_gemma":0.0001016392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000726129,"about_ca_topic_score_gemma":0.002371559,"domain_scores_codex":[0.9993331,0.0002358502,0.00003087492,0.0001223831,0.0002355737,0.00004233456],"domain_scores_gemma":[0.9992734,0.0003072054,0.0001656634,0.00006364646,0.0001004378,0.00008964725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004811025,0.0003701549,0.08415089,0.00006105954,0.00004563267,0.0001352489,0.000201273,0.0006697355,0.8616872,0.00006402476,0.0001126711,0.05202099],"study_design_scores_gemma":[0.00009258042,0.005523621,0.7925488,0.00001898208,0.0001365997,0.0008041704,0.0002280792,0.007890156,0.1908298,0.0001113453,0.001742618,0.00007318994],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880449,0.0001275402,0.01089041,0.00001490887,0.000004497957,0.00007183422,0.0002225455,0.0001124687,0.0005109283],"genre_scores_gemma":[0.9693884,0.0001464468,0.02868795,0.00002897266,0.00000646444,0.0001540552,0.0005466495,0.00002851344,0.001012553],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009646992,"threshold_uncertainty_score":0.004042089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0432367888044305,"score_gpt":0.3135557118919194,"score_spread":0.2703189230874889,"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."}}