{"id":"W2092747174","doi":"10.2136/sssaj2006.0418","title":"Modeling Tillage‐Induced Redistribution of Soil Mass and Its Constituents within Different Landscapes","year":2008,"lang":"en","type":"article","venue":"Soil Science Society of America Journal","topic":"Soil erosion and sediment transport","field":"Agricultural and Biological Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Tillage; Soil science; Environmental science; Erosion; Soil carbon; Conventional tillage; Redistribution (election); Soil water; Agronomy; Geology; Geomorphology; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000474854,0.000119124,0.0002392041,0.00001480463,0.0005858349,0.00002462,0.0002529028,0.00006075886,0.00004442597],"category_scores_gemma":[0.00004249683,0.00004902904,0.0001464149,0.0004317045,0.0004988437,0.0002226526,0.00003434944,0.000197422,0.000001233736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002452184,"about_ca_system_score_gemma":0.00008593853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008674451,"about_ca_topic_score_gemma":0.000005937326,"domain_scores_codex":[0.9984475,0.00003583896,0.0003590006,0.0002086199,0.0006884257,0.0002606466],"domain_scores_gemma":[0.9992563,0.00004532369,0.0002371389,0.00003719406,0.00023432,0.0001897983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002797963,0.00008378932,0.008200384,0.000007579196,0.00001420673,0.000001983658,0.0008960022,0.00177342,0.9867259,0.00002469322,0.0001390302,0.002105043],"study_design_scores_gemma":[0.001306992,0.001171342,0.09042823,0.0002453091,0.00006263117,0.0002580085,0.00946519,0.58017,0.3157176,0.0005030418,0.00008675205,0.0005849037],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984615,0.0001048991,0.000542917,0.0004903857,0.0001947759,0.00006440008,0.00001310768,0.0000145231,0.000113519],"genre_scores_gemma":[0.998691,0.0007396916,0.000398337,0.00009448572,0.00005868366,0.000001119139,0.000004462777,5.77698e-7,0.0000116893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6710083,"threshold_uncertainty_score":0.4505827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02963374809421342,"score_gpt":0.2323888865198724,"score_spread":0.202755138425659,"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."}}