{"id":"W2168026490","doi":"10.1002/eco.191","title":"Conceptual frameworks in peatland ecohydrology: looking beyond the two‐layered (acrotelm–catotelm) model","year":2011,"lang":"en","type":"article","venue":"Ecohydrology","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":106,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; McMaster University","funders":"","keywords":"Ecohydrology; Peat; Biogeochemical cycle; Environmental science; Flexibility (engineering); Biogeochemistry; Landscape ecology; Water table; Ecology; Earth science; Hydrology (agriculture); Ecosystem; Geology; Groundwater; Habitat; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000684977,0.0003396592,0.0004738072,0.0001229051,0.0002687146,0.00001879698,0.0008206945,0.000701303,0.004175969],"category_scores_gemma":[0.000049875,0.0002562838,0.0001162302,0.0002969334,0.001140573,0.0001783444,0.0005476268,0.001096142,0.0006576637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001579304,"about_ca_system_score_gemma":0.0000307463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0010029,"about_ca_topic_score_gemma":0.004346355,"domain_scores_codex":[0.9972778,0.0002669912,0.0005050877,0.000740709,0.0001759175,0.001033507],"domain_scores_gemma":[0.9988236,0.0001988101,0.0001834677,0.0006253781,0.00000892692,0.0001598016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003821706,0.0003064473,0.8069899,0.000004359709,0.00007842045,0.0003403164,0.009217903,0.1674404,0.001711398,0.009507623,0.002058409,0.001962618],"study_design_scores_gemma":[0.004807498,0.0007247014,0.09014855,0.00001132233,0.00008832582,0.0004934232,0.0001666316,0.8323023,0.000932107,0.06358843,0.005671236,0.001065469],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9350893,0.00008349107,0.001535704,0.0008830173,0.0003600548,0.0003247076,0.00001019239,0.00009104415,0.06162253],"genre_scores_gemma":[0.9952213,0.00002914993,0.0009819706,0.003228751,0.0001183346,0.00009598744,0.00002555511,0.00003560291,0.0002633453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7168413,"threshold_uncertainty_score":0.9999889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01546231697234312,"score_gpt":0.2269408082600648,"score_spread":0.2114784912877216,"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."}}