{"id":"W1999610905","doi":"10.1002/ldr.567","title":"Black soil degradation by rainfall erosion in Jilin, China","year":2003,"lang":"en","type":"article","venue":"Land Degradation and Development","topic":"Soil erosion and sediment transport","field":"Agricultural and Biological Sciences","cited_by":86,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"People's Government of Jilin Province; National Natural Science Foundation of China; National Research Foundation","keywords":"Topsoil; Soil water; Environmental science; Tillage; Erosion; Soil retrogression and degradation; Productivity; Agronomy; Hydrology (agriculture); Soil science; Geology; 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":[],"consensus_categories":[],"category_scores_codex":[0.0002627101,0.0001252191,0.0001216934,0.00002009212,0.000130116,0.00005171071,0.00005377558,0.0000781112,0.0003057341],"category_scores_gemma":[0.00001989101,0.00005375702,0.00001820667,0.000180601,0.00002224612,0.0001234399,0.000009368225,0.00007139771,0.00002608635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002540396,"about_ca_system_score_gemma":0.00001731303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000173316,"about_ca_topic_score_gemma":0.00168156,"domain_scores_codex":[0.9990747,0.0000476862,0.0002551971,0.0002475572,0.0001974485,0.0001773889],"domain_scores_gemma":[0.9997662,0.00003523646,0.00004941972,0.00003147706,0.00002406373,0.00009357248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006887986,0.0003276728,0.8481438,0.00001749414,0.000009416043,0.000003761781,0.0007491607,0.0000129977,0.04355355,0.000566513,0.00534667,0.1012001],"study_design_scores_gemma":[0.0007415032,0.00005148708,0.8993564,0.00002366289,0.000002900437,0.000002479725,0.0002155227,0.0001195898,0.01267404,0.0001333569,0.08643904,0.0002400691],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975281,0.0001128265,0.0001315784,0.0003967547,0.00007353861,0.0001484875,0.000005073277,0.00004072212,0.001562907],"genre_scores_gemma":[0.9969706,0.000198779,0.0004019623,0.0004064663,0.00001190408,0.00001351551,0.0005151982,0.000001064865,0.001480491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1009601,"threshold_uncertainty_score":0.3347574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01660083735985518,"score_gpt":0.2034276396987149,"score_spread":0.1868268023388598,"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."}}