{"id":"W2889240188","doi":"10.1111/ele.13145","title":"Ecosystem context illuminates conflicting roles of plant diversity in carbon storage","year":2018,"lang":"en","type":"article","venue":"Ecology Letters","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"Office of Experimental Program to Stimulate Competitive Research; National Science Foundation","keywords":"Ecology; Ecosystem; Context (archaeology); Diversity (politics); Plant diversity; Ecosystem diversity; Environmental resource management; Biology; Environmental science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002422652,0.00007430555,0.000127635,0.00006232609,0.0001426497,0.00000444754,0.0001952211,0.00004651465,0.0003702918],"category_scores_gemma":[0.00001645441,0.00007407658,0.00002789205,0.00008904067,0.0002717973,0.00003856571,0.0005591621,0.0000587946,0.0000764058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001774327,"about_ca_system_score_gemma":0.000002434576,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002169082,"about_ca_topic_score_gemma":0.03290651,"domain_scores_codex":[0.9993287,0.00007491323,0.0001284751,0.0001884414,0.0001044319,0.0001750853],"domain_scores_gemma":[0.9997031,0.00005783032,0.00009184047,0.0001133892,0.000005247889,0.00002860443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001708174,0.00002770505,0.9930993,0.000008114365,0.00001591834,0.00002072883,0.004215217,0.0001033997,0.001696701,0.000002734755,0.0006099094,0.0001831661],"study_design_scores_gemma":[0.0003637464,0.00004880569,0.9913723,0.000008680579,0.00001486753,0.000001565025,0.001947445,0.0009854677,0.0005255237,0.000002745535,0.004643436,0.00008544743],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962546,0.000004557171,0.000005400283,0.001438321,0.0001730339,0.0001534964,0.000010878,0.00001495782,0.001944797],"genre_scores_gemma":[0.9987574,0.000002236177,0.00002035974,0.001094322,0.00002148424,0.000001487573,0.00000370358,0.000002492425,0.00009652368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03073742,"threshold_uncertainty_score":0.9847404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01122747394513435,"score_gpt":0.1885066992324846,"score_spread":0.1772792252873502,"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."}}