{"id":"W2169167723","doi":"10.1080/07055900.2000.9649643","title":"Parametrization of peatland hydraulic properties for the Canadian land surface scheme","year":2000,"lang":"en","type":"article","venue":"ATMOSPHERE-OCEAN","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":371,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Peat; Parametrization (atmospheric modeling); Hydraulic conductivity; Environmental science; Wetland; Soil science; Soil water; Hydrology (agriculture); Water table; Water content; Bog; Moisture; Geology; Groundwater; Geotechnical engineering; Ecology; Chemistry; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0002513073,0.0005651601,0.0002930078,0.0005482981,0.001033876,0.000930915,0.001341921,0.0004412281,0.001842909],"category_scores_gemma":[0.0007032449,0.0001870477,0.0004427424,0.0007535812,0.0005898497,0.0003824837,0.0005375491,0.0004320258,0.0002707209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008599264,"about_ca_system_score_gemma":0.005513406,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.855863,"about_ca_topic_score_gemma":0.7727192,"domain_scores_codex":[0.9998052,0.00001944472,0.000007190163,0.00002873261,0.00006193554,0.00007755341],"domain_scores_gemma":[0.9997584,0.00003026586,0.00002005398,0.00002663652,0.0001302489,0.00003433217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002813634,0.00001654182,0.008103853,0.00002242837,0.000009281919,0.00006806367,0.0000461635,0.9665382,0.001903933,0.01288575,0.001623309,0.008754323],"study_design_scores_gemma":[0.00001162583,0.000006893748,0.005709681,0.000009253561,0.000006214229,0.0000208092,0.00004060016,0.9868481,0.0008448322,0.001405601,0.005072719,0.0000236529],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7642862,0.0005309641,0.1526933,0.000521242,0.00007724048,0.000430365,0.008356496,0.00167351,0.07143058],"genre_scores_gemma":[0.9823154,0.0001350545,0.01234328,0.00003722412,0.000005865758,0.0001030345,0.00127088,0.00009250536,0.003696789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.144137,"threshold_uncertainty_score":0.2899717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01219695970126819,"score_gpt":0.2049197145438963,"score_spread":0.1927227548426281,"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."}}