{"id":"W2015734756","doi":"10.4141/cjss08068","title":"Spatial variability in organic carbon stocks on level sites: Relation to vertical penetration of the A horizon","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Soil Science","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Guelph","funders":"","keywords":"Spatial variability; Horizon; Soil carbon; Environmental science; Soil science; Soil horizon; Total organic carbon; Carbon sequestration; Sampling (signal processing); Carbon stock; Soil water; Hydrology (agriculture); Geology; Carbon dioxide; Climate change; Ecology; Mathematics; Oceanography; Statistics; Environmental chemistry; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0003476589,0.0001006795,0.0001233134,0.0006155616,0.0002025321,0.0004077915,0.0001621933,0.0001872176,0.0008039725],"category_scores_gemma":[0.001547202,0.0001139647,0.0001148394,0.0007698668,0.0002736465,0.0002829576,0.0003644351,0.0001419829,0.0001121287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003500354,"about_ca_system_score_gemma":0.0002335252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02420202,"about_ca_topic_score_gemma":0.04524291,"domain_scores_codex":[0.9997868,0.00003761814,0.00001656369,0.00007352396,0.00004585142,0.00003958774],"domain_scores_gemma":[0.9982374,0.0006566179,0.0004900112,0.0001272988,0.0003264449,0.0001623005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001794806,0.00002244324,0.9809989,0.00001247717,0.0000506271,0.0000522052,0.0002070343,0.0005554501,0.01184649,0.00004888562,0.00003624583,0.005989803],"study_design_scores_gemma":[0.000001600163,0.00002432974,0.9990398,0.000001519782,0.00000565859,0.00002719809,0.0001005623,0.0003816459,0.0003476031,0.00002332955,0.00004443827,0.000002324692],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993568,0.00002633545,0.0002517469,0.000003847918,4.239528e-7,0.00000251738,0.0001540817,0.000004255198,0.000199848],"genre_scores_gemma":[0.9996749,0.000009818245,0.000143192,0.000001597041,4.594472e-7,0.000002079679,0.0001114477,9.327666e-7,0.00005553197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02420202,"threshold_uncertainty_score":0.04812229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01609455343428207,"score_gpt":0.2204916308574036,"score_spread":0.2043970774231215,"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."}}