{"id":"W4308906898","doi":"10.1016/j.catena.2022.106723","title":"Species mixing improves soil properties and enzymatic activities in Chinese fir plantations: A meta-analysis","year":2022,"lang":"en","type":"article","venue":"CATENA","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":107,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; Université du Québec à Montréal","funders":"National Key Research and Development Program of China; Priority Academic Program Development of Jiangsu Higher Education Institutions; China Scholarship Council","keywords":"Monoculture; Cycling; Environmental science; Afforestation; Carbon sequestration; Biogeochemical cycle; Nutrient; Ecosystem; Nutrient cycle; Agronomy; Forest ecology; Soil carbon; Soil organic matter; Soil water; Mixing (physics); Agroforestry; Ecology; Biology; Soil science; Forestry; Carbon dioxide; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002103471,0.00009383424,0.0002774818,0.00009833507,0.0003589924,0.00002012666,0.00008540874,0.00001489296,0.0006433463],"category_scores_gemma":[0.00003681896,0.00006744496,0.00009589534,0.0003412429,0.0001778119,0.0001623341,0.0002038604,0.00009598166,0.000009022649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006304598,"about_ca_system_score_gemma":0.000005730242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002875487,"about_ca_topic_score_gemma":0.004863874,"domain_scores_codex":[0.9993331,0.00008805734,0.0001528317,0.0001813221,0.0001136319,0.0001310275],"domain_scores_gemma":[0.9997155,0.0001080253,0.00006480239,0.00009109789,0.000002702748,0.00001789274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007186006,0.0003205001,0.7873307,0.0001093456,0.02157256,0.00003605941,0.05671827,0.1132871,0.01914836,0.0007109595,0.0003985767,0.0002957697],"study_design_scores_gemma":[0.0002954454,0.00006998704,0.9479041,0.000001159453,0.008377111,0.00001175526,0.01069423,0.0293015,0.0002620367,0.002640198,0.0001399375,0.0003026097],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966118,0.0009472411,0.000028939,0.0006575501,0.00002916378,0.0001214114,0.00001270365,0.00001681179,0.001574421],"genre_scores_gemma":[0.9954396,0.00004812062,0.0001073667,0.0001761076,0.000003977063,0.0002576638,0.000008370202,0.000004445713,0.003954285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1605733,"threshold_uncertainty_score":0.7044191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03805333521280491,"score_gpt":0.2319257167129252,"score_spread":0.1938723815001203,"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."}}