{"id":"W2104281305","doi":"10.4141/s05-091","title":"Inferred history of a boreal pond from sediment and vegetation characteristics","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Soil Science","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Central Connecticut State University","keywords":"Peat; Thermokarst; Wetland; Boreal; Bog; Marsh; Holocene; Environmental science; Shore; Vegetation (pathology); Hydrology (agriculture); Sediment; Taiga; Physical geography; Geology; Water level; Ecology; Permafrost; Oceanography; Geography; Geomorphology; Paleontology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009626283,0.0001405854,0.0000770692,0.0007578015,0.0003773423,0.0003841166,0.0001502745,0.0001061457,0.001689437],"category_scores_gemma":[0.0003342786,0.00009344753,0.0001011035,0.0006252632,0.0001996979,0.0001956116,0.0002620341,0.00008685192,0.0001826611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000502683,"about_ca_system_score_gemma":0.0003438549,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1047479,"about_ca_topic_score_gemma":0.4035001,"domain_scores_codex":[0.9999647,0.000003728096,0.000002430184,0.000009380382,0.000008612776,0.00001122374],"domain_scores_gemma":[0.9998072,0.00001807517,0.00006069453,0.00001208304,0.00004744164,0.00005454197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003844122,0.000009074658,0.9911962,0.00001104243,0.00001196162,0.0001306758,0.0001325702,0.0002801849,0.003015571,0.00002901189,0.0001023405,0.005042997],"study_design_scores_gemma":[8.48842e-7,0.000005840333,0.9993016,0.000002056317,0.000004408514,0.00007450643,0.00008906231,0.0002182929,0.0001068474,0.00001063758,0.0001847599,0.000001091515],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980481,0.00006294248,0.0002256875,0.000005969493,0.00000127058,0.000004460539,0.0005520279,0.00001434599,0.001085193],"genre_scores_gemma":[0.9989397,0.00003572415,0.0002342136,0.000003747622,0.000001024473,0.000002001404,0.0005613001,0.000002076613,0.0002201608],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8952521,"threshold_uncertainty_score":0.2082765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006536893188249124,"score_gpt":0.1808687249192119,"score_spread":0.1743318317309628,"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."}}