{"id":"W2808782754","doi":"10.1111/1365-2745.13033","title":"Divergent temporal trends of net biomass change in western Canadian boreal forests","year":2018,"lang":"en","type":"article","venue":"Journal of Ecology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Parks Canada; Natural Resources Canada; Lakehead University; Canadian Forest Service; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biome; Environmental science; Taiga; Climate change; Biomass (ecology); Carbon sequestration; Boreal; Atmospheric sciences; Primary production; Global warming; Carbon cycle; Ecosystem; Physical geography; Ecology; Climatology; Geography; Forestry; Carbon dioxide; 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":[0.0001658545,0.00005003541,0.0001253795,0.0001932543,0.00002191903,0.000003567628,0.0001325586,0.00006675835,0.0004369696],"category_scores_gemma":[0.000004985814,0.00004099442,0.00003296307,0.0001508556,0.00008873006,0.00009852132,0.00003909717,0.00006732608,0.00001646199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001753967,"about_ca_system_score_gemma":0.00002486675,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.09071963,"about_ca_topic_score_gemma":0.9269695,"domain_scores_codex":[0.9994293,0.00002969837,0.0002319812,0.00005865603,0.0000812029,0.0001690908],"domain_scores_gemma":[0.9996596,0.000009648725,0.0001558572,0.00005695787,0.000009272953,0.0001086886],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001170146,0.00002669833,0.9974917,7.847707e-7,0.00000640653,0.0000591319,0.0002688365,0.00004450236,0.00006389039,0.00001246329,0.0002908919,0.001723025],"study_design_scores_gemma":[0.0002468435,0.000260511,0.9945285,0.000004262629,0.000006546011,0.00006905611,0.000005623112,0.001551856,0.00002746355,0.0001118056,0.00314633,0.00004123571],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970886,0.000008960666,0.000005712173,0.0005161674,0.0002641425,0.00002680922,0.00001542446,9.41949e-7,0.002073254],"genre_scores_gemma":[0.9996337,0.000008165831,0.0000905566,0.00008602486,0.00006226663,9.994999e-7,0.00000569879,0.000003217122,0.0001094112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8362498,"threshold_uncertainty_score":0.9153354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01633151803977476,"score_gpt":0.2404292541802241,"score_spread":0.2240977361404494,"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."}}