{"id":"W2147567501","doi":"10.1139/x06-250","title":"Modeling corewood–outerwood transition in loblolly pine using wood specific gravity","year":2007,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Forest ecology and management","field":"Environmental Science","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Forest Service; Eidgenössisches Nuklearsicherheitsinspektorat; University of Virginia; North Carolina State University; Southern Research Station; Virginia Polytechnic Institute and State University","keywords":"Loblolly pine; Pinus <genus>; Human fertilization; Plateau (mathematics); Specific gravity; Heteroscedasticity; Forestry; Physical geography; Biology; Geology; Ecology; Animal science; Botany; Environmental science; Geography; Mathematics; Mineralogy; Agronomy; Statistics","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":[0.0006266416,0.0004540708,0.0002471695,0.0004168327,0.0002349075,0.000432113,0.0005160329,0.0004366323,0.0003846074],"category_scores_gemma":[0.001020023,0.0002529407,0.0004669627,0.000290235,0.0002234078,0.000425377,0.0003160754,0.0002312505,0.0001151702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007207742,"about_ca_system_score_gemma":0.000563149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02851004,"about_ca_topic_score_gemma":0.02643011,"domain_scores_codex":[0.9998888,0.00003503859,0.000004181476,0.0000276373,0.00001172604,0.00003262257],"domain_scores_gemma":[0.9997252,0.0001634685,0.000049836,0.00001193022,0.00002646949,0.00002316281],"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":[0.0002042462,0.00009933632,0.08309014,0.0000351747,0.00004321766,0.0001224321,0.0001652447,0.8955516,0.009487335,0.0007644049,0.000103692,0.01033328],"study_design_scores_gemma":[0.000007159625,0.00005608745,0.02666536,0.000004399985,0.00001510457,0.00003472033,0.00004220452,0.9713454,0.001242486,0.0003952587,0.0001814665,0.00001031611],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9774241,0.00005770014,0.02205004,0.00001500056,0.00000100578,0.000009248915,0.0000489046,0.00006218314,0.0003317056],"genre_scores_gemma":[0.9968934,0.00002497096,0.002678199,0.000002679464,6.835256e-7,0.00001009477,0.00005433242,0.00001394553,0.000321567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02851004,"threshold_uncertainty_score":0.05668819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05540659323502776,"score_gpt":0.3025725224358125,"score_spread":0.2471659292007848,"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."}}