{"id":"W4390612245","doi":"10.1002/crso.20333","title":"Cover Crops Support Microbial Diversity: Three Case Studies","year":2024,"lang":"en","type":"article","venue":"Crops & Soils","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cover crop; Agroforestry; Agriculture; Diversity (politics); Cover (algebra); Sustainable agriculture; Cropping; Crop rotation; Soil conservation; Environmental resource management; Geography; Environmental science; Environmental planning; Ecology; Engineering; Biology; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001407194,0.0003634885,0.0001881647,0.0008581505,0.002472385,0.00103748,0.0006519085,0.00139058,0.002281722],"category_scores_gemma":[0.003405948,0.0001476563,0.0004309166,0.001506038,0.0008758206,0.000636066,0.001296112,0.0006751805,0.000199472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002321342,"about_ca_system_score_gemma":0.001061576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02700398,"about_ca_topic_score_gemma":0.07488153,"domain_scores_codex":[0.9992556,0.0003277257,0.00002031513,0.00005635707,0.0001505931,0.0001893861],"domain_scores_gemma":[0.9969524,0.001817362,0.0003014943,0.0001621923,0.0003331802,0.0004334244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002211657,0.00518713,0.4935296,0.001453693,0.0003613118,0.1740418,0.1015614,0.005623361,0.01324988,0.009908916,0.01510738,0.1777638],"study_design_scores_gemma":[0.0005250468,0.003487396,0.4561315,0.001374185,0.0004948676,0.07239833,0.2672866,0.008714725,0.01602274,0.009476626,0.1638923,0.0001956083],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934081,0.0006885471,0.0006073632,0.0006355625,0.00001212144,0.00008898314,0.0001955853,0.000005845251,0.004357926],"genre_scores_gemma":[0.9940282,0.001393304,0.001905157,0.0002022263,0.00002100875,0.00006561282,0.000205999,0.000009785382,0.002168718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02700398,"threshold_uncertainty_score":0.05369359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03657802238960299,"score_gpt":0.2584931442406387,"score_spread":0.2219151218510357,"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."}}