{"id":"W4406071345","doi":"10.1016/j.hpj.2024.05.018","title":"Effects of wheat straw mulching and wet treatment on soil improvement, greenhouse gas emission, nitrogen leaching, and vegetable yield","year":2025,"lang":"en","type":"article","venue":"Horticultural Plant Journal","topic":"Agriculture, Soil, Plant Science","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Agriculture","funders":"National Natural Science Foundation of China","keywords":"Straw; Mulch; Leaching (pedology); Nitrogen; Agronomy; Yield (engineering); Environmental science; Greenhouse gas; Chemistry; Soil water; Materials science; Soil science; Metallurgy; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001705563,0.0005754648,0.0004996106,0.0001976085,0.000195755,0.0002605697,0.0002042843,0.0002218517,0.0008630566],"category_scores_gemma":[0.0001771688,0.0001778009,0.000412326,0.0001892594,0.0002512644,0.0001945475,0.0001937376,0.0004379424,0.00006125737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002848624,"about_ca_system_score_gemma":0.0002278998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00205286,"about_ca_topic_score_gemma":0.004897607,"domain_scores_codex":[0.9998714,0.0000208207,0.00001220705,0.00003553521,0.00002457643,0.00003555576],"domain_scores_gemma":[0.9997731,0.00004209689,0.00007034295,0.00001745947,0.00002790454,0.00006915615],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.003383678,0.001022909,0.003831987,0.0002016446,0.00007492251,0.00008524361,0.0000634008,0.0006042069,0.9841827,0.00002670413,0.00005089041,0.006471632],"study_design_scores_gemma":[0.0001408868,0.02617586,0.1585987,0.00001896068,0.0002509484,0.00008320094,0.0003038975,0.002470544,0.8104474,0.00006443566,0.001406315,0.00003886415],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995177,0.0001418732,0.0001189794,0.000007000481,0.00001080216,0.000009989128,0.00005656356,0.000007205817,0.0001298403],"genre_scores_gemma":[0.9984193,0.0001632146,0.0005831057,0.00002946231,0.000005717819,0.00001671032,0.0001091775,0.000005206128,0.0006682297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00205286,"threshold_uncertainty_score":0.004081786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009750020878522024,"score_gpt":0.2055740741725781,"score_spread":0.1958240532940561,"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."}}