{"id":"W2223416184","doi":"10.1139/cjfr-2013-0208","title":"Development, validation, and application of a model of intra- and inter-tree variability of wood density for lodgepole pine in western Canada","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Forest ecology and management","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service; Foothills Medical Centre","funders":"","keywords":"Pinus contorta; Silviculture; Dendrochronology; Environmental science; Tree (set theory); Biomass (ecology); Statistics; Scale (ratio); Random effects model; Pith; Forest inventory; Mathematics; Forest management; Ecology; Forestry; Geography; Agroforestry; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.001322823,0.0005529755,0.0004333643,0.0003799863,0.00108187,0.001177142,0.001585799,0.0005491182,0.0005885897],"category_scores_gemma":[0.002746987,0.0004405809,0.0004348543,0.0003702329,0.0005984674,0.0002985166,0.0005290933,0.0006805083,0.0001015673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01239119,"about_ca_system_score_gemma":0.01172514,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9540239,"about_ca_topic_score_gemma":0.9199013,"domain_scores_codex":[0.9997409,0.00005641192,0.00001390577,0.00007316394,0.00004990518,0.00006564693],"domain_scores_gemma":[0.9990785,0.0004260255,0.0000741856,0.00002517552,0.0003409626,0.00005504495],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004772853,0.00003796652,0.02071766,0.00001755041,0.00001814387,0.00003562321,0.00008382548,0.9707907,0.0006052369,0.0006605607,0.0002544552,0.006730507],"study_design_scores_gemma":[0.00001023917,0.00001134149,0.005183126,0.000003903746,0.000007240171,0.000004106324,0.00003199602,0.9942586,0.0001850902,0.0001179046,0.0001780851,0.000008267644],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9584386,0.0001782443,0.03794499,0.0001974594,0.0000134541,0.0001226668,0.0006295149,0.0001897102,0.0022854],"genre_scores_gemma":[0.9856421,0.00007707069,0.01237198,0.00002353845,0.000002895258,0.00005813208,0.000499415,0.00002616088,0.001298582],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0459761,"threshold_uncertainty_score":0.09249365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02199284401547614,"score_gpt":0.2602922178197145,"score_spread":0.2382993738042383,"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."}}