{"id":"W2047183686","doi":"10.4141/cjss06025","title":"Assessment of the lateral and vertical variability of soil organic carbon","year":2007,"lang":"en","type":"article","venue":"Canadian Journal of Soil Science","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gleysol; Podzol; Soil science; Sampling (signal processing); Chernozem; Soil carbon; Soil horizon; Soil water; Environmental science; Subsoil; Spatial variability; Mathematics; Statistics","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":[0.000536783,0.0002427128,0.0001935476,0.0008914049,0.0005659016,0.000737488,0.0002553702,0.0001902271,0.000504642],"category_scores_gemma":[0.001728154,0.0001676817,0.000173868,0.001118942,0.0003268627,0.0002678138,0.0004021979,0.0001592087,0.0001138534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001539873,"about_ca_system_score_gemma":0.001327641,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5164201,"about_ca_topic_score_gemma":0.7004026,"domain_scores_codex":[0.9995202,0.00004472292,0.00002792466,0.0001283432,0.0002047556,0.00007411817],"domain_scores_gemma":[0.998228,0.0003776686,0.0003291927,0.0001029071,0.0008637122,0.00009855317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008874373,0.00001373499,0.9356891,0.00005174318,0.000101027,0.00006411906,0.0004046149,0.001159826,0.03748114,0.00008879579,0.0001160359,0.02474117],"study_design_scores_gemma":[0.000001246803,0.00001291918,0.9964694,0.000004111488,0.000009828534,0.00003239186,0.0001804221,0.001180091,0.0017492,0.00002669505,0.0003281039,0.000005568082],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931764,0.0003112555,0.00394511,0.00002206323,0.000003447894,0.00001948758,0.0009190369,0.0000402146,0.0015629],"genre_scores_gemma":[0.9974246,0.0001089813,0.001486386,0.00001287393,0.000001858502,0.00001169234,0.0005783117,0.000008025387,0.0003671666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4835799,"threshold_uncertainty_score":0.9728556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01032378370221354,"score_gpt":0.2196714314036501,"score_spread":0.2093476477014366,"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."}}