{"id":"W287426920","doi":"10.1007/s00267-015-0540-y","title":"Erratum to: Riparian Land-Use and Rehabilitation: Impact on Organic Matter Input and Soil Respiration","year":2015,"lang":"en","type":"erratum","venue":"Environmental Management","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph; University of Waterloo","funders":"","keywords":"Riparian zone; Soil respiration; Environmental science; Agroforestry; Riparian forest; Forestry; Land use; Geography; Soil science; Ecology; Soil water; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003027266,0.0005149949,0.0003371799,0.0001510956,0.0001686708,0.0002151899,0.0002266957,0.0002402124,0.0005629168],"category_scores_gemma":[0.00001369678,0.0004410947,0.00007059069,0.0001421506,0.0002298217,0.0003558174,0.0009193575,0.0003635672,0.001789205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008782958,"about_ca_system_score_gemma":0.000005371898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001909474,"about_ca_topic_score_gemma":0.00005325971,"domain_scores_codex":[0.9975025,0.0001138289,0.0003560933,0.0009487175,0.0006597663,0.0004191001],"domain_scores_gemma":[0.9988791,0.00004032723,0.000139191,0.0006069753,0.000002250192,0.0003321721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00008571218,0.0001399787,0.258731,0.00004035234,0.00004858068,0.00001983669,0.0004309968,0.0003007022,0.00001348806,0.00000572204,0.7389396,0.001243942],"study_design_scores_gemma":[0.0008102155,0.0008351609,0.7093169,0.0001077194,0.0001053155,0.000009395187,0.0001297275,0.0004074182,0.00000437832,0.001413391,0.2862017,0.0006586059],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9422563,0.0001394354,0.00005513262,0.002356878,0.003258275,0.001693061,0.0001755073,0.00008205358,0.04998337],"genre_scores_gemma":[0.706877,0.0006999052,0.001332772,0.004824405,0.0005887981,0.0002713052,0.001504952,0.0002527938,0.2836481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4527379,"threshold_uncertainty_score":0.9998041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006819286749196843,"score_gpt":0.2084930341839453,"score_spread":0.2016737474347485,"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."}}