{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007589358,0.0001879001,0.0001249777,0.000653671,0.0006030434,0.0006274119,0.0002753384,0.0001221027,0.002859826],"category_scores_gemma":[0.001044844,0.00008407762,0.0001423159,0.0006404769,0.0003217036,0.0003704638,0.0007733517,0.0002263383,0.0001679941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001047879,"about_ca_system_score_gemma":0.000844329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006549616,"about_ca_topic_score_gemma":0.07323994,"domain_scores_codex":[0.9996772,0.0001041814,0.00001523485,0.00006835211,0.0000752277,0.00005990696],"domain_scores_gemma":[0.9989126,0.0002569882,0.0002955359,0.0000964789,0.0001144505,0.0003239746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009619738,0.0008509792,0.463913,0.0005238542,0.0004816651,0.0007007037,0.001480518,0.002457013,0.1037241,0.003659536,0.0009360914,0.4203106],"study_design_scores_gemma":[0.00001133564,0.000574625,0.9897878,0.00004647242,0.0001075333,0.0003597223,0.0008925496,0.0009030896,0.002361418,0.000751362,0.004190463,0.00001358837],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924192,0.0005508139,0.001022251,0.00008446441,0.00001456277,0.00002025289,0.0000754219,0.00001094204,0.005802121],"genre_scores_gemma":[0.9948979,0.0005489149,0.002780027,0.00003708981,0.00001054473,0.00001042763,0.00006865962,0.000004135697,0.001642309],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006549616,"threshold_uncertainty_score":0.01302302,"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."}}