{"id":"W2147378546","doi":"10.1016/j.catena.2013.09.009","title":"Assessment of variability and uncertainty of soil organic carbon in a mountainous boreal forest (Canadian Rocky Mountains, Alberta)","year":2013,"lang":"en","type":"article","venue":"CATENA","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":85,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary; Geoscience BC","funders":"Foreign Affairs and International Trade Canada; Department of Foreign Affairs and Trade, Australian Government","keywords":"Soil carbon; Environmental science; Spatial variability; Transect; Propagation of uncertainty; Taiga; Boreal; Soil science; Sampling (signal processing); Physical geography; Hydrology (agriculture); Geology; Soil water; Geography; Statistics; Forestry; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002999856,0.0001037173,0.0001888157,0.00004899368,0.00003069298,0.00001084218,0.0001199764,0.00006100983,0.0001408255],"category_scores_gemma":[0.0001195681,0.0000950433,0.00001739479,0.0001756893,0.0001463569,0.00005831916,0.00008801281,0.00008484248,0.000002685179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003727531,"about_ca_system_score_gemma":0.0001053034,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9013346,"about_ca_topic_score_gemma":0.7491041,"domain_scores_codex":[0.9990687,0.00005091292,0.0002494672,0.0002236321,0.0001415012,0.0002658363],"domain_scores_gemma":[0.9994169,0.00011818,0.00008379672,0.0002136202,0.00002197136,0.0001455483],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000002069746,0.0000448546,0.9926439,0.00003207363,0.00000706508,0.000002123052,0.0003498963,0.00205962,0.002217355,0.0009928022,0.00004364784,0.001604612],"study_design_scores_gemma":[0.0002181245,0.00004651046,0.9260263,0.00001134652,0.000008078796,0.00000212139,0.0001729638,0.07059267,0.0000969703,0.002680402,0.00004700224,0.00009747541],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9776676,0.000007226467,0.0000634482,0.0001147544,0.0000302196,0.0002494834,0.00001219617,0.000003634109,0.02185146],"genre_scores_gemma":[0.9995975,0.00001150395,0.0002223969,0.00005451316,0.000006306602,0.00002277398,0.00001992783,0.000008762026,0.00005625709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1522305,"threshold_uncertainty_score":0.3875753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005757873292547539,"score_gpt":0.2099460775579765,"score_spread":0.204188204265429,"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."}}