{"id":"W2117603838","doi":"10.1080/00224561.2005.12435832","title":"Precision conservation for co-management of carbon and nitrogen on the Canadian prairies","year":2005,"lang":"en","type":"article","venue":"Journal of Soil and Water Conservation","topic":"Soil erosion and sediment transport","field":"Agricultural and Biological Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Soil carbon; Greenhouse gas; Carbon sequestration; Wetland; Landform; Carbon fibers; Riparian zone; Total organic carbon; Nitrogen; Soil science; Hydrology (agriculture); Soil water; Ecology; Geology; Environmental chemistry; Chemistry; Habitat","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003973342,0.00005592677,0.00009258951,0.00001784894,0.0001344334,0.00002855682,0.00004772641,0.00003894934,0.000007772317],"category_scores_gemma":[0.000008390671,0.00001707596,0.00002923997,0.00003784633,0.00004513795,0.00008253392,0.000004450908,0.00004196088,3.052231e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001454308,"about_ca_system_score_gemma":0.000009832568,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005024019,"about_ca_topic_score_gemma":0.0325691,"domain_scores_codex":[0.9994805,0.00002283923,0.0002191187,0.00006123076,0.000133607,0.00008269852],"domain_scores_gemma":[0.9996285,0.00009083861,0.000094857,0.00001883963,0.0001174242,0.00004957569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007871485,0.0001307927,0.8323424,0.00007816905,0.0001296689,0.000004437629,0.001360668,0.00003439643,0.04666132,0.003176135,0.004957038,0.1103379],"study_design_scores_gemma":[0.0007704871,0.000683993,0.901585,0.0001587384,0.00006592435,0.00001268565,0.0005795619,0.0008331729,0.04562932,0.002845378,0.04670817,0.0001275819],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9573839,0.00005463122,0.00000180622,0.04219877,0.00003486486,0.0001336477,0.000006626758,0.000002483122,0.0001832792],"genre_scores_gemma":[0.9984567,0.00009023,0.00005800079,0.001249722,0.00005522029,0.000004115324,0.00001417953,5.434447e-7,0.00007133559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1102103,"threshold_uncertainty_score":0.985084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03062227410388255,"score_gpt":0.224147261103585,"score_spread":0.1935249869997024,"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."}}