{"id":"W2047302742","doi":"10.1890/11-0411.1","title":"Carbon stocks across a chronosequence of thinned and unmanaged red pine (<i>Pinus resinosa</i>) stands","year":2012,"lang":"en","type":"article","venue":"Ecological Applications","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Northern Research Station; AGE-WELL","keywords":"Chronosequence; Thinning; Stand development; Ecosystem; Understory; Forest ecology; Environmental science; Basal area; Forest management; Forestry; Silviculture; Agroforestry; Ecology; Geography; Canopy; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0003584532,0.0002379854,0.0001902117,0.0007315312,0.0002134591,0.0003018383,0.0002382024,0.0001872705,0.0004735371],"category_scores_gemma":[0.0004351182,0.00015727,0.0002554462,0.0004929211,0.0001748535,0.0002975102,0.0002020539,0.0001843058,0.0001229793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003421282,"about_ca_system_score_gemma":0.0001461781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008344656,"about_ca_topic_score_gemma":0.02047878,"domain_scores_codex":[0.9998857,0.00001386808,0.00001359373,0.00004276316,0.0000249363,0.00001917315],"domain_scores_gemma":[0.9992802,0.0001240896,0.0002638287,0.00006264628,0.0001480161,0.0001212017],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008330519,0.0001125193,0.9576153,0.00003890316,0.0002186101,0.0001947474,0.000301116,0.0008496274,0.0331128,0.00005010923,0.0000974504,0.006575732],"study_design_scores_gemma":[0.000003316584,0.00007178159,0.9990087,0.000001526593,0.0000128936,0.00005367632,0.00003471687,0.0001680388,0.0005419534,0.000006368894,0.00009433865,0.000002697585],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995815,0.00006372969,0.00003227585,0.000001170703,0.000001029465,0.000002153554,0.0002067206,0.000002269693,0.0001090242],"genre_scores_gemma":[0.9986587,0.00007268062,0.0003028013,0.000008229587,0.000002760665,0.000009424818,0.0007788322,0.000001855227,0.0001647127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008344656,"threshold_uncertainty_score":0.01659214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01973807711093829,"score_gpt":0.2351787221109104,"score_spread":0.2154406449999721,"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."}}