{"id":"W4367319059","doi":"10.1111/gcb.16748","title":"Climate‐driven spatial and temporal patterns in peatland pool biogeochemistry","year":2023,"lang":"en","type":"article","venue":"Global Change Biology","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Agencia Nacional de Investigación y Desarrollo; Natural Environment Research Council; Sight Research UK","keywords":"Biogeochemistry; Biogeochemical cycle; Peat; Environmental science; Climate change; Ecosystem; Spatial ecology; Spatial variability; Ecology; Physical geography; Oceanography; Geology; Geography; Biology","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":[0.0003176102,0.0001058789,0.0001511393,0.0005877343,0.000193069,0.0005303687,0.0001898216,0.000162981,0.0005790626],"category_scores_gemma":[0.0006536143,0.0001026769,0.0001737818,0.0008560324,0.0002439359,0.0002534592,0.0003180572,0.0001322665,0.00008197755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006990806,"about_ca_system_score_gemma":0.0005952921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1750514,"about_ca_topic_score_gemma":0.2412063,"domain_scores_codex":[0.9998962,0.00001505456,0.000006847275,0.00003623954,0.00001219256,0.00003354992],"domain_scores_gemma":[0.9994377,0.00009503615,0.0001581826,0.00003476031,0.0001779807,0.0000962219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006804739,0.00001360996,0.9913254,0.00001715815,0.00006078151,0.00005645912,0.0001713972,0.0008286834,0.004864989,0.00006821287,0.0002584588,0.002266775],"study_design_scores_gemma":[9.239492e-7,0.000002379675,0.9991124,0.000001931359,0.000003952153,0.000006594222,0.00007806582,0.0005268698,0.0001255912,0.00001286329,0.000126609,0.000001864033],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987985,0.00008615107,0.00007484086,0.00002066855,0.000001679778,0.000001721017,0.0007979489,0.000004597368,0.0002139933],"genre_scores_gemma":[0.9992587,0.00004117133,0.00006047512,0.000006737386,0.000001529264,0.000002831323,0.0005372214,0.000001932288,0.00008938991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1750514,"threshold_uncertainty_score":0.3480651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02150971998757208,"score_gpt":0.260902895448727,"score_spread":0.2393931754611549,"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."}}