{"id":"W4406932046","doi":"10.1007/s11273-025-10033-8","title":"Patterned rich fens in southeastern Yukon: comparisons with boreal and montane fens in Alberta","year":2025,"lang":"en","type":"article","venue":"Wetlands Ecology and Management","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Yukon Department of Environment","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Boreal; Montane ecology; Taiga; Physical geography; Peat; Geology; Environmental science; Geography; Forestry; Ecology; Archaeology; Paleontology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001499492,0.0001502169,0.0001968058,0.001493608,0.001038174,0.0007559885,0.0003131262,0.0001904329,0.0007628193],"category_scores_gemma":[0.0002208939,0.0001187371,0.000134805,0.002052068,0.0004813869,0.0001956516,0.0005302017,0.00009832304,0.00009219122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003013203,"about_ca_system_score_gemma":0.002559071,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8575062,"about_ca_topic_score_gemma":0.9733424,"domain_scores_codex":[0.9998922,0.00000883147,0.000006944334,0.00002233786,0.0000199092,0.00004971055],"domain_scores_gemma":[0.9998086,0.00001644187,0.00004111211,0.000008011571,0.00007451055,0.00005133313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009640116,0.00002125284,0.9839379,0.00005144059,0.00003191546,0.0005604208,0.001950475,0.0002579784,0.001489174,0.0002208057,0.0003147196,0.0110675],"study_design_scores_gemma":[0.000001327137,0.000005385944,0.9967512,0.0000100962,0.000005853288,0.00008567557,0.002443166,0.0001087256,0.00004529129,0.00001841145,0.0005225728,0.000002257842],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984407,0.0002081679,0.00003540922,0.000020233,0.000001198758,0.00000350322,0.0002590024,0.000002755718,0.001028913],"genre_scores_gemma":[0.9986791,0.0002138835,0.0001439651,0.00001469973,7.066163e-7,0.000003015556,0.0004337714,0.000001898216,0.0005089482],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1424938,"threshold_uncertainty_score":0.286666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005027687658745322,"score_gpt":0.2074444157692503,"score_spread":0.202416728110505,"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."}}