{"id":"W2128431779","doi":"10.1111/gcb.12994","title":"Net aboveground biomass declines of four major forest types with forest ageing and climate change in western Canada's boreal forests","year":2015,"lang":"en","type":"article","venue":"Global Change Biology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":163,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Taiga; Biome; Environmental science; Deciduous; Biomass (ecology); Forestry; Climate change; Carbon cycle; Forest ecology; Geography; Ecosystem; Ecology; Agroforestry; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.0001238767,0.0001416097,0.0001942264,0.00003058403,0.00002928634,0.00001100998,0.0001297939,0.0001005201,0.000003738027],"category_scores_gemma":[0.000008540444,0.0001068082,0.00001327654,0.0001761985,0.000130907,0.0001146111,0.0001625823,0.00004706909,0.00000328315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001614783,"about_ca_system_score_gemma":0.00002198782,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7188977,"about_ca_topic_score_gemma":0.9942595,"domain_scores_codex":[0.9991189,0.00003733415,0.0001667964,0.0002283704,0.0001067569,0.0003418745],"domain_scores_gemma":[0.9996434,0.00001779392,0.00009336168,0.0001224043,0.00001132408,0.0001116845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005826437,0.00001347489,0.9979602,0.00001082118,0.000006933752,0.00005927086,0.00008319681,0.0000189091,0.000004776641,0.000259052,0.00001569636,0.001509446],"study_design_scores_gemma":[0.0005018863,0.0001679944,0.9941459,0.00002308951,0.00001273201,0.00006219873,0.00001772866,0.003629433,0.000001292814,0.0004774512,0.0008279894,0.0001322776],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982325,0.0002355393,0.00003313423,0.0002515288,0.0001102666,0.0002431597,0.0003458709,0.00001177805,0.0005362348],"genre_scores_gemma":[0.9994059,0.00005141369,0.0001595149,0.000134861,0.00006251283,0.00003812138,0.0001329669,0.000007308968,0.000007409255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2753618,"threshold_uncertainty_score":0.4355512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02858092783001363,"score_gpt":0.2463945671823592,"score_spread":0.2178136393523456,"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."}}