{"id":"W1990974880","doi":"10.1002/hyp.5774","title":"Advances in Canadian wetland hydrology, 1999–2003","year":2005,"lang":"en","type":"article","venue":"Hydrological Processes","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":92,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; McMaster University; University of Toronto; University of Waterloo","funders":"","keywords":"Wetland; Peat; Hydrology (agriculture); Boreal; Environmental science; Water quality; Current (fluid); Bog; Water resource management; Geography; Ecology; Geology; Oceanography; Archaeology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001131522,0.00049397,0.0001934753,0.004771403,0.001550381,0.001605755,0.0007705773,0.0002124909,0.00568257],"category_scores_gemma":[0.003458038,0.0001760696,0.0002671808,0.009083595,0.0004838415,0.0006837673,0.0006471355,0.0004645061,0.0006553252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05136687,"about_ca_system_score_gemma":0.05340673,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9973186,"about_ca_topic_score_gemma":0.9988189,"domain_scores_codex":[0.9991639,0.00003279925,0.00004169824,0.0001021822,0.0005513178,0.0001081468],"domain_scores_gemma":[0.9950786,0.0001415293,0.0002476177,0.0000740077,0.004201572,0.0002566616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002652138,0.00007016959,0.2322786,0.0009875733,0.0001595637,0.0001922178,0.001402922,0.004027165,0.001817563,0.007847965,0.1983842,0.5525668],"study_design_scores_gemma":[0.00001127383,0.00001262606,0.6312826,0.0001763166,0.00005579023,0.00008400143,0.0004925877,0.00212008,0.001176768,0.0002914869,0.3642541,0.00004242759],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3748544,0.1127351,0.009650592,0.0377965,0.001372832,0.0003200981,0.2065701,0.001499785,0.2552007],"genre_scores_gemma":[0.8379402,0.04829255,0.01082379,0.001281098,0.0003029721,0.00007070597,0.04285971,0.0001371898,0.05829187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05136687,"threshold_uncertainty_score":0.3726945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007685058577206848,"score_gpt":0.2279671823247873,"score_spread":0.2202821237475804,"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."}}