{"id":"W2141462263","doi":"10.1016/j.ecoleng.2013.02.003","title":"The hydrology of the Bois-des-Bel bog peatland restoration: 10 years post-restoration","year":2013,"lang":"en","type":"article","venue":"Ecological Engineering","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":79,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Peat; Sphagnum; Bog; Hydrology (agriculture); Water table; Environmental science; Ditch; Forestry; Surface runoff; Evapotranspiration; Vegetation (pathology); Geology; Geography; Groundwater; Ecology; Archaeology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002149296,0.0000916791,0.0001131797,0.00001332094,0.0001679828,0.00002548358,0.0002654482,0.0001062813,0.001359641],"category_scores_gemma":[0.0002285126,0.00005038585,0.00005169206,0.0001285384,0.0001754416,0.0001048409,0.0001592109,0.0001400983,0.0002140261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008163419,"about_ca_system_score_gemma":0.000007886198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001114367,"about_ca_topic_score_gemma":0.0003680674,"domain_scores_codex":[0.9992474,0.00005212271,0.0001881892,0.0001490059,0.0001181999,0.0002450778],"domain_scores_gemma":[0.9994951,0.0001759103,0.00006394102,0.0002001943,0.0000132439,0.0000515838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001204668,0.0004224034,0.57173,0.00003055009,0.00009998355,0.00003379039,0.001116347,0.2409531,0.1153974,0.003695789,0.05065017,0.0157501],"study_design_scores_gemma":[0.0001641426,0.000188682,0.9704668,0.000002002403,0.000005341477,0.000008936783,0.00001188005,0.01130632,0.0001002262,0.0003242024,0.01734611,0.00007536664],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963739,0.00004002855,0.00009584037,0.001024355,0.0002010727,0.0001979835,0.000001497157,0.00003006254,0.002035259],"genre_scores_gemma":[0.9988265,0.00001770297,0.0001465624,0.0001197492,0.00005673985,0.00004694052,0.000005010893,0.00000620875,0.0007745618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3987369,"threshold_uncertainty_score":0.9995533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006220541001277265,"score_gpt":0.1867570614004392,"score_spread":0.1805365203991619,"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."}}