{"id":"W2883942707","doi":"","title":"Spatial and statistical variability of soil properties for fields in BMPs in the Steppler sub-watershed, South Tobacco Creek Watershed, research design and preliminary results","year":2013,"lang":"en","type":"article","venue":"","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Agriculture and Agri-Food Canada","keywords":"Watershed; Spatial variability; Environmental science; Geography; Hydrology (agriculture); Geology; Statistics; Computer science; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0009212962,0.0001827253,0.0002412731,0.0007673724,0.0004524937,0.0004775124,0.0005518642,0.0002354243,0.0007668104],"category_scores_gemma":[0.002993178,0.0001979106,0.0003463193,0.001075219,0.0005939592,0.0004121209,0.0004912564,0.0002410684,0.0001427122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00137439,"about_ca_system_score_gemma":0.001160386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08223148,"about_ca_topic_score_gemma":0.1374529,"domain_scores_codex":[0.9990574,0.0002117179,0.00005881971,0.0003074596,0.0002483367,0.0001163075],"domain_scores_gemma":[0.9976706,0.001273931,0.0002635876,0.0001696984,0.0004065012,0.0002156602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006694886,0.0003146947,0.9874583,0.00001191207,0.00004627033,0.00006309385,0.0003597101,0.001020397,0.006293596,0.00008460817,0.00006341447,0.003614343],"study_design_scores_gemma":[0.00001111963,0.0001205313,0.9971721,9.99818e-7,0.00001639759,0.00002226872,0.0002576074,0.001499308,0.0008085716,0.00003072904,0.00005682847,0.000003540561],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993228,0.000003918652,0.0002041933,0.00000331793,3.789927e-7,0.00001779138,0.0002472663,0.000003322192,0.0001970206],"genre_scores_gemma":[0.9983229,0.000006684213,0.0005256904,0.000004085109,0.000001184937,0.00005251202,0.0007504885,0.000002673707,0.0003338298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08223148,"threshold_uncertainty_score":0.1635057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04859526485696609,"score_gpt":0.2550976094194937,"score_spread":0.2065023445625276,"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."}}