{"id":"W2599747470","doi":"10.1111/ele.12767","title":"Influence of multiple global change drivers on terrestrial carbon storage: additive effects are common","year":2017,"lang":"en","type":"review","venue":"Ecology Letters","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":249,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Terrestrial ecosystem; Terrestrial plant; Biomass (ecology); Plant community; Global change; Ecosystem; Ecology; Environmental science; Climate change; Storage effect; Interaction; Carbon cycle; Global warming; Biology; Atmospheric sciences; Agronomy; Species richness; Competition (biology)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001135642,0.0004965953,0.001296341,0.00001388136,0.0001522238,0.00001168219,0.0007509589,0.0004360413,0.00005419628],"category_scores_gemma":[0.00008597134,0.0004526727,0.0002987467,0.00009240564,0.000990784,0.0001162798,0.0004746025,0.0004442481,0.0001704074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001583673,"about_ca_system_score_gemma":0.00001470197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001137854,"about_ca_topic_score_gemma":0.0005106243,"domain_scores_codex":[0.998015,0.0002780666,0.0003654786,0.0006082372,0.0002740929,0.0004591099],"domain_scores_gemma":[0.9980112,0.0002779977,0.000966823,0.0006174689,0.000001285815,0.000125195],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00008965937,0.0003839808,0.2967564,0.001266681,0.0004340963,0.0009193136,0.0001668878,0.01405694,0.000005040279,0.000003107578,0.001768825,0.6841491],"study_design_scores_gemma":[0.001225955,0.0005290237,0.6933981,0.00248705,0.0007928594,0.00003004179,0.00001795579,0.0004393648,0.00000113205,0.000007171652,0.3000996,0.0009717477],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.9154279,0.07980095,0.00000816906,0.000153028,0.001307238,0.002494273,0.0001532366,0.00006054925,0.0005946939],"genre_scores_gemma":[0.1003172,0.8972069,0.0002911906,0.001278989,0.0002892114,0.000364167,0.0001017399,0.00007679048,0.00007374289],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.817406,"threshold_uncertainty_score":0.9997925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02160592028339779,"score_gpt":0.2682635263851037,"score_spread":0.2466576061017059,"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."}}