{"id":"W2189222634","doi":"","title":"Diverse Annual Plantings and their Contribution to Forage Yield and Soil Improvement","year":2013,"lang":"en","type":"article","venue":"","topic":"Agronomic Practices and Intercropping Systems","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Species richness; Agronomy; Agroforestry; Weed; Forage; Biomass (ecology); Abundance (ecology); Ecosystem; Nutrient cycle; Polyculture; Biology; Ecosystem services; Soil compaction; Environmental science; Ecology; Soil water; Fishery","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":[0.0001122952,0.00006747691,0.00008348662,0.00000377749,0.0001044933,0.0001002876,0.0000508397,0.00003439805,0.0002312997],"category_scores_gemma":[0.00002932052,0.00002027424,0.0000151199,0.0000250221,0.00001577856,0.0002486003,0.0001014757,0.0000345955,0.00004196064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007446542,"about_ca_system_score_gemma":9.324922e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005378579,"about_ca_topic_score_gemma":0.0006533125,"domain_scores_codex":[0.9995839,0.00000852728,0.00009610259,0.0001456476,0.00003209394,0.0001336988],"domain_scores_gemma":[0.9997438,0.00008912825,0.000039769,0.00001850174,0.00003313637,0.00007568747],"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":[0.00002226784,0.00002824398,0.006986117,0.000005307529,0.00001769415,4.658465e-7,0.0004308622,3.261179e-7,0.7892438,0.0004154097,0.01146225,0.1913873],"study_design_scores_gemma":[0.0008021084,0.003997561,0.6084017,0.000154501,0.00002735562,0.00005383518,0.06332516,0.001595506,0.05883274,0.0005565102,0.2611993,0.001053685],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965842,0.00002974335,0.0000301402,0.002405781,0.00005930677,0.0002271004,0.00002773389,0.00002273512,0.0006132536],"genre_scores_gemma":[0.9984011,0.00001481534,0.000007940721,0.0007431416,0.00008798695,0.00001173054,0.000004994519,2.427221e-7,0.0007280404],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7304111,"threshold_uncertainty_score":0.8130839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01298047182615985,"score_gpt":0.1958039734905025,"score_spread":0.1828235016643426,"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."}}