{"id":"W2073511397","doi":"10.1111/j.1600-0889.2007.00328.x","title":"Forest floor versus ecosystem CO<sub>2</sub> exchange along boreal ecotone between upland forest and lowland mire","year":2008,"lang":"en","type":"article","venue":"Tellus B","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Mire; Peat; Ecotone; Deserts and xeric shrublands; Atmospheric sciences; Biomass (ecology); Environmental science; Hydrology (agriculture); Forestry; Physics; Ecology; Geography; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002142257,0.0001563361,0.0001498408,0.0004216971,0.0002201521,0.0005107154,0.0001126342,0.0001063628,0.0009483276],"category_scores_gemma":[0.000288909,0.00008513053,0.0001250975,0.0003699485,0.0001875625,0.0002590377,0.000208471,0.0001129669,0.0001472215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000374546,"about_ca_system_score_gemma":0.0001213129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0129241,"about_ca_topic_score_gemma":0.04751991,"domain_scores_codex":[0.9999098,0.00001528963,0.000004712851,0.00003630021,0.000009781883,0.00002413379],"domain_scores_gemma":[0.9997357,0.00004137034,0.0001044629,0.00001782598,0.00003502928,0.00006555363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001735644,0.00003010168,0.9873354,0.000009638122,0.00004538332,0.00008160363,0.0002285413,0.0002291336,0.007993641,0.00007429776,0.00008057887,0.003718],"study_design_scores_gemma":[6.7117e-7,0.000006488328,0.9996315,5.347769e-7,0.000002688874,0.0000158857,0.00003884241,0.0001444933,0.00009975913,0.000006431583,0.00005167082,9.228086e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996007,0.00003564784,0.00003529787,0.000003603096,5.059573e-7,5.965638e-7,0.00008058202,0.000002183267,0.0002409741],"genre_scores_gemma":[0.9996388,0.00001218579,0.00006147182,0.000003291512,9.938572e-7,0.00000110143,0.0001608409,0.000001385051,0.0001198271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0129241,"threshold_uncertainty_score":0.02569777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01724935568654502,"score_gpt":0.2198000656962888,"score_spread":0.2025507100097438,"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."}}