{"id":"W3031660677","doi":"10.1007/s10021-020-00516-5","title":"Graminoid Removal Reduces the Increase in N2O Fluxes Due to Nitrogen Fertilization in a Boreal Peatland","year":2020,"lang":"en","type":"article","venue":"Ecosystems","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Graminoid; Peat; Boreal; Environmental science; Human fertilization; Ecology; Nitrogen; Taiga; Agronomy; Forb; Biology; Grassland; Chemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.0003378511,0.0001226273,0.0002102737,0.00004491532,0.00006270595,0.0000372768,0.0002515604,0.00006590572,0.0001569148],"category_scores_gemma":[0.00009913123,0.00008697712,0.0000312922,0.0004088035,0.00002736674,0.00009450575,0.0001311688,0.0001069651,0.0001874774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001095722,"about_ca_system_score_gemma":0.00001385653,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.007868487,"about_ca_topic_score_gemma":0.0278197,"domain_scores_codex":[0.9987864,0.0001776947,0.0002865481,0.0003097501,0.0001586039,0.000280979],"domain_scores_gemma":[0.9996037,0.00005351075,0.00005343884,0.0001497438,0.000004032654,0.0001355588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001255303,0.00006146503,0.9856668,0.00001341295,0.000005470948,0.0002367643,0.002079655,0.0007024162,0.00415602,0.00003323366,0.005763325,0.001155985],"study_design_scores_gemma":[0.001249416,0.0002736356,0.9492912,0.00004053292,0.00001044349,0.0001399016,0.0005569186,0.02283775,0.001494722,0.0004019554,0.02337687,0.0003267015],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922777,0.00006000574,0.00002200555,0.00231551,0.00007789482,0.0003969953,0.00001177675,0.00002438747,0.004813696],"genre_scores_gemma":[0.9991745,0.000008385127,0.00004148175,0.0004806243,0.0001152951,0.00005976488,0.00004925352,0.00001073909,0.00005995147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03637557,"threshold_uncertainty_score":0.9987382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01144705409504718,"score_gpt":0.2167073303177938,"score_spread":0.2052602762227466,"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."}}