{"id":"W2741498989","doi":"10.1111/gcb.13844","title":"Impact of winter roads on boreal peatland carbon exchange","year":2017,"lang":"en","type":"article","venue":"Global Change Biology","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"Northern Alberta Institute of Technology; University of Waterloo","funders":"Environment Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Peat; Environmental science; Boreal; Transect; Carbon sink; Sink (geography); Hydrology (agriculture); Water table; Atmospheric sciences; Physical geography; Climate change; Ecology; Geology; Geography; Oceanography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000128514,0.0001437297,0.0001179239,0.0003054951,0.0005501243,0.0006138324,0.00018004,0.0001158349,0.001115573],"category_scores_gemma":[0.0004607723,0.00007446876,0.0001127864,0.0003449948,0.0003065352,0.0001473377,0.0002419482,0.0001050207,0.0000703896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002097544,"about_ca_system_score_gemma":0.001465285,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6155061,"about_ca_topic_score_gemma":0.8739156,"domain_scores_codex":[0.9998462,0.00002428083,0.000004637349,0.00002194312,0.00003176533,0.0000710014],"domain_scores_gemma":[0.9995446,0.00006974804,0.00009975921,0.00002077554,0.0001613336,0.0001038775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003089362,0.00004612991,0.9790892,0.00002075531,0.00004700929,0.0002045908,0.0002353825,0.002132505,0.008221582,0.0001338256,0.0002738945,0.009286171],"study_design_scores_gemma":[0.000001065327,0.00001509629,0.9989789,0.000002322582,0.000006056376,0.00001951982,0.0002200155,0.000350864,0.0002034541,0.00001188143,0.0001891254,0.000001711479],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992878,0.00002496664,0.00002387032,0.000005846488,7.888491e-7,0.000001537791,0.0001175536,0.000002966746,0.0005347429],"genre_scores_gemma":[0.999508,0.00002061038,0.00004606177,0.000002917394,5.356146e-7,0.000001097704,0.0001158277,7.974768e-7,0.0003041626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6155061,"threshold_uncertainty_score":0.7735166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0329187955865483,"score_gpt":0.3148565143827248,"score_spread":0.2819377187961765,"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."}}