{"id":"W2112528811","doi":"10.1002/hyp.6518","title":"Effect of entrapped gas on peatland surface level fluctuations","year":2006,"lang":"en","type":"article","venue":"Hydrological Processes","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Foundation for Climate and Atmospheric Sciences","keywords":"Peat; Water table; Environmental science; Water level; Atmospheric pressure; Volume (thermodynamics); Table (database); Hydrology (agriculture); Surface water; Surface pressure; Atmospheric sciences; Chemistry; Soil science; Geology; Ecology; Groundwater; Environmental engineering","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":[0.0002477801,0.0001434423,0.0002249221,0.00001771016,0.00009925571,0.00001052159,0.0001718314,0.0001033018,0.001444116],"category_scores_gemma":[0.0001582245,0.00009026672,0.0000448846,0.0002094077,0.0002103888,0.00005729443,0.00006028769,0.00009604178,0.0001804162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002325599,"about_ca_system_score_gemma":0.000008123378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001496717,"about_ca_topic_score_gemma":0.0001616197,"domain_scores_codex":[0.9989803,0.00009207709,0.0001915773,0.0002797551,0.0001912382,0.0002650961],"domain_scores_gemma":[0.9992983,0.0004352594,0.00007786232,0.0001286088,0.000008805333,0.00005111996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005141995,0.0006115981,0.9236163,0.0001204778,0.00001931677,0.00003659868,0.0000646812,0.03664502,0.02809923,0.000248313,0.007779846,0.00224435],"study_design_scores_gemma":[0.003687299,0.008967989,0.8431475,0.0000391546,0.0001163299,0.00005454692,0.000008450299,0.004648492,0.1139054,0.01069769,0.01397806,0.0007491072],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9746524,0.0000451378,0.0001983364,0.0002993913,0.00002797319,0.0001691762,0.00001296308,0.00004437378,0.02455022],"genre_scores_gemma":[0.9992334,0.00002419088,0.00008564165,0.00009415695,0.00003675911,0.00001436906,0.00004124128,0.000006100307,0.0004640995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08580617,"threshold_uncertainty_score":0.9994687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0115520191781996,"score_gpt":0.2351429312810132,"score_spread":0.2235909121028136,"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."}}