{"id":"W2792801045","doi":"10.1111/gcb.14057","title":"Precipitation frequency alters peatland ecosystem structure and <scp>CO</scp><sub>2</sub> exchange: Contrasting effects on moss, sedge, and shrub communities","year":2018,"lang":"en","type":"article","venue":"Global Change Biology","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Peat; Environmental science; Moss; Ecosystem; Shrub; Sphagnum; Carbon sink; Vascular plant; Growing season; Primary production; Bog; Atmospheric sciences; Ecology; Biology; Species richness; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001508682,0.0001529373,0.0001919799,0.0002606321,0.0001770141,0.0003170291,0.0001708091,0.000159755,0.0006934088],"category_scores_gemma":[0.0001941767,0.0001462136,0.0001274938,0.000111095,0.0002780209,0.0001455897,0.0002346236,0.0001861228,0.00008557942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002442473,"about_ca_system_score_gemma":0.0001482758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003236408,"about_ca_topic_score_gemma":0.006337168,"domain_scores_codex":[0.9999111,0.00002444664,0.000005571287,0.00002295958,0.000009047895,0.00002690923],"domain_scores_gemma":[0.999716,0.00005344488,0.00007546415,0.00001409354,0.00002329041,0.0001178351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001649666,0.0003870206,0.4316853,0.0000515412,0.0001308351,0.0002513105,0.0002734512,0.0006096069,0.5595295,0.00007403926,0.0001542547,0.005203454],"study_design_scores_gemma":[0.00000764173,0.0001624147,0.995949,0.000001417886,0.00000940572,0.000048858,0.0001182952,0.000495178,0.003126078,0.00001735544,0.00006212934,0.000002210328],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998882,0.00001073929,0.00001710238,0.000002853584,4.112978e-7,0.000001173857,0.00002261194,0.000001690173,0.00005526099],"genre_scores_gemma":[0.9998247,0.00001111077,0.0000418684,0.000007656388,0.000001177959,0.000002519052,0.00004073297,0.000001210975,0.00006895056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003236408,"threshold_uncertainty_score":0.006435156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01403674529067842,"score_gpt":0.2418639477347118,"score_spread":0.2278272024440334,"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."}}