{"id":"W2197847368","doi":"10.2134/agronj14.0416","title":"The Benefits of Legume Crops on Corn and Wheat Yield, Nitrogen Nutrition, and Soil Properties Improvement","year":2015,"lang":"en","type":"article","venue":"Agronomy Journal","topic":"Agronomic Practices and Intercropping Systems","field":"Agricultural and Biological Sciences","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; Grain Research Centre; McGill University; Institut de Recherche et de Développement en Agroenvironnement","funders":"","keywords":"Vicia villosa; Agronomy; Legume; Monoculture; Sativum; Green manure; Vicia sativa; Biology; Field pea; Red Clover; Cover crop; Crop","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004094825,0.00008814566,0.0001200015,0.000006804508,0.0002918894,0.0002043054,0.0001194171,0.00003692322,0.00001452522],"category_scores_gemma":[0.00003695799,0.00002637775,0.00003527454,0.00002849903,0.00008437258,0.0002125549,0.00005519698,0.0001158724,0.000004227692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002680145,"about_ca_system_score_gemma":0.00001299138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004317568,"about_ca_topic_score_gemma":0.0002069727,"domain_scores_codex":[0.9993464,0.00004645038,0.0002360192,0.0001128604,0.0001079178,0.0001503634],"domain_scores_gemma":[0.9994947,0.00009217741,0.0001696624,0.00003483759,0.00009655258,0.0001120868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009651125,0.0004627241,0.0672368,0.00006100951,0.0003265687,0.000005608169,0.00215194,0.00002939521,0.1604445,0.00187867,0.03595298,0.7304847],"study_design_scores_gemma":[0.005148988,0.01582952,0.2196032,0.002562044,0.0002548356,0.001881671,0.06354356,0.0005076771,0.09990307,0.007620605,0.5813873,0.001757516],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920814,0.004023541,0.000001583017,0.003064865,0.0001295948,0.0001332666,0.000003849751,0.000005357577,0.0005565569],"genre_scores_gemma":[0.9987672,0.0005371391,0.00001439428,0.00009545819,0.0003283968,0.000008617454,0.000001008834,7.445787e-7,0.0002470696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7287271,"threshold_uncertainty_score":0.2245007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04535541881853371,"score_gpt":0.2139780483148473,"score_spread":0.1686226294963135,"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."}}