{"id":"W2980196730","doi":"10.1016/j.agrformet.2019.107790","title":"Forest and perennial herbland cover reduce microbial respiration but increase root respiration in agroforestry systems","year":2019,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alberta Ministry of Agriculture and Forestry; University of Alberta","funders":"Agriculture and Agri-Food Canada","keywords":"Windbreak; Environmental science; Agronomy; Soil respiration; Agroforestry; Perennial plant; Soil carbon; Grassland; Soil water; Agricultural land; Agriculture; Ecology; Biology; Soil science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002801295,0.000253859,0.0003468316,0.00003501857,0.0001377006,0.0001236789,0.0001302577,0.0003291707,0.00002729335],"category_scores_gemma":[0.00005765964,0.0001004758,0.00006294341,0.0002347145,0.0001051181,0.0002664013,0.0001023965,0.0002212659,0.00002706697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003889904,"about_ca_system_score_gemma":0.00001127378,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005958453,"about_ca_topic_score_gemma":0.03045185,"domain_scores_codex":[0.9984011,0.000200647,0.0003662304,0.0004899278,0.0001550682,0.0003870482],"domain_scores_gemma":[0.9993994,0.0001696819,0.0001447383,0.00006987463,0.00007682454,0.0001395219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004410665,0.00005633516,0.7668349,0.00002742149,0.00002087145,0.00001222862,0.00008486385,0.0002586063,0.2288858,0.001494235,0.0001593824,0.001724291],"study_design_scores_gemma":[0.0006892116,0.0006978213,0.9947219,0.00002337038,0.00002381025,0.0001618794,0.0001570977,0.002016939,0.0002611371,0.0002197338,0.0007566825,0.0002704088],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997692,0.000481761,5.995713e-7,0.0005361257,0.0002927739,0.0005157198,0.0000371261,0.00004327052,0.000400617],"genre_scores_gemma":[0.9986585,0.00005826816,0.00001377126,0.0001530507,0.0003810388,0.00003468384,0.0002682557,0.000002259591,0.0004301055],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2286247,"threshold_uncertainty_score":0.9872399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01027832583520609,"score_gpt":0.2013530178962261,"score_spread":0.19107469206102,"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."}}