{"id":"W2797827866","doi":"10.1017/qua.2018.34","title":"Exploring pathways to late Holocene increased surface wetness in subarctic peatlands of eastern Canada","year":2018,"lang":"en","type":"article","venue":"Quaternary Research","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Peat; Subarctic climate; Ombrotrophic; Geology; Holocene; Paleoclimatology; Precipitation; Physical geography; Hydrology (agriculture); Drainage; Climate change; Earth science; Environmental science; Bog; Paleontology; Ecology; Oceanography; Geography","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":[0.0001770509,0.0001293557,0.0001128174,0.0006628199,0.0008523437,0.0009356461,0.0003501639,0.0002221565,0.0009959299],"category_scores_gemma":[0.000444052,0.0001246434,0.0001777102,0.0006644097,0.0005152758,0.0002424389,0.0003592139,0.0002192047,0.00004292059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007724204,"about_ca_system_score_gemma":0.005669435,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9421775,"about_ca_topic_score_gemma":0.9757571,"domain_scores_codex":[0.9999369,0.000006412923,0.000002093451,0.00001308046,0.000008779706,0.00003253938],"domain_scores_gemma":[0.9998125,0.00003682273,0.00003226146,0.000005940151,0.00005907416,0.0000532664],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008575392,0.00002999408,0.9766788,0.00003724304,0.00005584181,0.0003569011,0.001862362,0.00433672,0.004402683,0.001169324,0.0002142876,0.01077023],"study_design_scores_gemma":[0.000002374928,0.000005795672,0.9930238,0.00001145156,0.00001197367,0.00002893288,0.002230405,0.003568677,0.0002811806,0.0002071297,0.0006224803,0.00000600478],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990601,0.00008058784,0.00009656624,0.00005426378,7.171822e-7,0.000002693855,0.0001473628,0.000003284553,0.0005544592],"genre_scores_gemma":[0.9996955,0.00005310526,0.00006945495,0.000005675874,2.871863e-7,0.000001133031,0.00005196857,0.000001070997,0.0001218284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05782247,"threshold_uncertainty_score":0.1163259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1349744623254976,"score_gpt":0.3089618248250281,"score_spread":0.1739873624995305,"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."}}