{"id":"W1665431836","doi":"10.1139/x08-104","title":"Consequences of climate change for biogeochemical cycling in forests of northeastern North AmericaThis article is one of a selection of papers from NE Forests 2100: A Synthesis of Climate Change Impacts on Forests of the Northeastern US and Eastern Canada.","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":192,"is_retracted":false,"has_abstract":true,"ca_institutions":"Gouvernement du Québec","funders":"","keywords":"Biogeochemical cycle; Environmental science; Climate change; Ecosystem; Cycling; Primary production; Forest ecology; Ecology; Biogeochemistry; Global change; Forest floor; Atmospheric sciences; Geography; Forestry; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001147838,0.0002161388,0.0007946085,0.0004326768,0.00007832353,0.00001171441,0.0005458924,0.0001161504,0.00004505526],"category_scores_gemma":[0.0005553542,0.0001739079,0.0001657878,0.0008429969,0.0008040557,0.0002146621,0.00006544298,0.0002673036,5.455349e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003087198,"about_ca_system_score_gemma":0.0004923506,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.776994,"about_ca_topic_score_gemma":0.9943793,"domain_scores_codex":[0.9966121,0.0002592322,0.001141926,0.0002748542,0.0009651887,0.0007467313],"domain_scores_gemma":[0.9970716,0.0006345446,0.001232355,0.0003596864,0.0002606676,0.0004411852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005311132,0.0001243696,0.9711685,0.0003779726,0.00004997876,0.00001202318,0.00138069,0.0001857133,0.01267097,0.000007487726,0.000005480339,0.01348575],"study_design_scores_gemma":[0.0006545662,0.001205612,0.9240294,0.001802294,0.00004377919,0.00001768878,0.0002106933,0.002440691,0.06937326,0.00009721675,0.000007000621,0.0001178429],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973559,0.0002149121,0.000001995528,0.0004555234,0.00005115444,0.0008794067,0.0009714661,0.000001456442,0.00006816925],"genre_scores_gemma":[0.9996916,0.0001147491,0.00006858245,0.0000278205,0.00004296026,0.00002552037,0.000005028178,0.00002262273,0.000001119301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2173853,"threshold_uncertainty_score":0.7091758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03000429167249197,"score_gpt":0.2676988098539036,"score_spread":0.2376945181814116,"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."}}