{"id":"W4385999832","doi":"10.1111/1365-2664.14484","title":"Synergism between production and soil health through crop diversification, organic amendments and crop protection in wheat‐based systems","year":2023,"lang":"en","type":"article","venue":"Journal of Applied Ecology","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Fredericton; Agriculture and Agri-Food Canada","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Soil health; Yield gap; Environmental science; Soil quality; Soil management; Soil organic matter; Agriculture; Agricultural soil science; Agronomy; Organic farming; No-till farming; Soil biodiversity; Agroforestry; Crop yield; Soil water; Agricultural engineering; Soil fertility; Biology; Engineering; Soil science; Ecology","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":[0.0007540887,0.0002403006,0.0003904136,0.0003713773,0.0002883806,0.0008065711,0.0003505641,0.0002251023,0.0007199991],"category_scores_gemma":[0.0005588732,0.000129927,0.0003180957,0.0003093085,0.0004537249,0.0003612677,0.0005905621,0.0002513217,0.000073248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001031126,"about_ca_system_score_gemma":0.0005952546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00309325,"about_ca_topic_score_gemma":0.00735024,"domain_scores_codex":[0.9995806,0.0001378131,0.0000393961,0.0001105799,0.00005830111,0.00007337173],"domain_scores_gemma":[0.999116,0.0002650545,0.0002685973,0.00006317411,0.00008118796,0.0002059115],"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":[0.002847839,0.001059073,0.1718319,0.0004519494,0.0004558117,0.0002748215,0.000312409,0.002021598,0.8023764,0.000137185,0.00008109979,0.01815006],"study_design_scores_gemma":[0.00005118657,0.005133783,0.9525375,0.00001471196,0.0001761613,0.00007418474,0.0004260394,0.002988677,0.03762698,0.0001723104,0.0007802954,0.00001813748],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996278,0.00009200591,0.00009903606,0.00001075087,0.00000147544,0.000008524892,0.00003389017,0.000003050991,0.000123524],"genre_scores_gemma":[0.9996396,0.00004951789,0.0001743297,0.00001305918,0.000001648031,0.000004799134,0.00004627007,8.921613e-7,0.00006981044],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00309325,"threshold_uncertainty_score":0.007481396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02890433665395555,"score_gpt":0.2396222434834637,"score_spread":0.2107179068295081,"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."}}