{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002769788,0.0001142365,0.0002050533,0.000007525873,0.0004645122,0.00001126915,0.000196316,0.0001489968,0.0001360233],"category_scores_gemma":[0.00006185378,0.00004735907,0.00004650085,0.0002742595,0.0004038911,0.00007126417,0.0002267923,0.0001254278,0.00001364186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003035768,"about_ca_system_score_gemma":0.000003915006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007555769,"about_ca_topic_score_gemma":0.0004725242,"domain_scores_codex":[0.9991012,0.00005517406,0.0001854648,0.0002298201,0.00009313064,0.0003352436],"domain_scores_gemma":[0.9994178,0.0002473025,0.0001089353,0.00006975154,0.00005808166,0.0000981027],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001196889,0.001000667,0.9397463,0.00003094119,0.00008226296,0.000003331866,0.0005764518,0.000003495443,0.03929441,0.006221331,0.001733904,0.01118724],"study_design_scores_gemma":[0.0001473982,0.0002674052,0.9876587,0.000002845067,0.00001763997,0.000003392424,0.0004159849,0.000007352957,0.0007361894,0.001002553,0.009623617,0.0001168879],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950408,0.0003609924,0.000009570475,0.002185092,0.00003563601,0.00042332,0.00009029562,0.00006442609,0.001789896],"genre_scores_gemma":[0.9990665,0.0001217497,0.0002205366,0.0001866105,0.00009223227,0.0001086038,0.000033228,4.42296e-7,0.0001700903],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04791245,"threshold_uncertainty_score":0.3572699,"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."}}