{"id":"W2989648062","doi":"10.1038/s41598-019-53879-8","title":"Misinterpreting carbon accumulation rates in records from near-surface peat","year":2019,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":108,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Environment Research Council; Sight Research UK","keywords":"Peat; Carbon fibers; Environmental science; Soil science; Physical geography; Decomposition; Geology; Earth science; Ecology; Geography; Computer science; Biology","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":[0.007022384,0.0004059972,0.0004659162,0.002439991,0.0007290502,0.002567902,0.0008104823,0.001103399,0.0004593729],"category_scores_gemma":[0.02035336,0.0002872471,0.0004533462,0.002291519,0.001486014,0.002657618,0.001458705,0.0008609557,0.0003348655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009272763,"about_ca_system_score_gemma":0.000642676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0120124,"about_ca_topic_score_gemma":0.0190949,"domain_scores_codex":[0.9970865,0.0008072884,0.0004326344,0.0005624843,0.0009109892,0.0002001894],"domain_scores_gemma":[0.988725,0.004611304,0.002589733,0.001816132,0.002058496,0.0001993542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003612338,0.00004909198,0.8282462,0.0008831006,0.0004609564,0.002001406,0.005784703,0.004365466,0.05238792,0.007013614,0.004641584,0.09380484],"study_design_scores_gemma":[0.00002059335,0.00007955818,0.8798642,0.000823008,0.0003185777,0.003552065,0.007390307,0.01724142,0.0339108,0.01849849,0.03811247,0.0001883917],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9258547,0.006867699,0.05018086,0.004306644,0.001269129,0.00005443799,0.001752655,0.000607567,0.009106174],"genre_scores_gemma":[0.9887449,0.001056967,0.008230783,0.0006338569,0.0001875986,0.00001504535,0.000506131,0.0001128992,0.0005116224],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0120124,"threshold_uncertainty_score":0.03713834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01200057572003517,"score_gpt":0.2543061725265736,"score_spread":0.2423055968065385,"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."}}