{"id":"W2780904070","doi":"10.1002/lno.10771","title":"Temporal‐spatial pattern of organic carbon sequestration by Chinese lakes since 1850","year":2017,"lang":"en","type":"article","venue":"Limnology and Oceanography","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Memorial University of Newfoundland","funders":"Institute for Biodiversity, Ecosystem Science, and Sustainability; South China Normal University","keywords":"Plateau (mathematics); Environmental science; China; Subtropics; Total organic carbon; Physical geography; Sediment; Hydrology (agriculture); Geography; Ecology; Geology; Biology; Geomorphology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002434906,0.0002180596,0.0001417636,0.001300804,0.0003197893,0.0003379973,0.0002341289,0.0001636899,0.0009106016],"category_scores_gemma":[0.0003489551,0.0001502546,0.0002569596,0.001481313,0.0003173206,0.000313754,0.0004267874,0.0001009721,0.00009639023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009682693,"about_ca_system_score_gemma":0.0005892023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07190309,"about_ca_topic_score_gemma":0.100693,"domain_scores_codex":[0.9999133,0.000006238619,0.000008595381,0.0000281075,0.00001675999,0.00002691566],"domain_scores_gemma":[0.9996506,0.00002554819,0.000129291,0.0000222116,0.0001094309,0.00006289379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004489673,0.000008652334,0.9915853,0.00003446007,0.00007760612,0.00008159692,0.0004542308,0.0003905041,0.002604706,0.0001199389,0.000224079,0.004373958],"study_design_scores_gemma":[5.790955e-7,0.000003896433,0.9995376,0.000001037638,0.000006145542,0.000009597293,0.00004802066,0.0001723301,0.00006105332,0.000004383267,0.000153925,0.000001463469],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991025,0.0001445711,0.00003320574,0.0000259374,0.000001429499,0.000001463155,0.0003083363,0.00000569372,0.0003768049],"genre_scores_gemma":[0.9994043,0.00005551949,0.00002616157,0.000006534221,0.000003973435,0.000001993055,0.0003050274,8.980421e-7,0.0001956339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07190309,"threshold_uncertainty_score":0.1429691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009121093172247203,"score_gpt":0.231160659241722,"score_spread":0.2220395660694748,"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."}}