{"id":"W7135092006","doi":"10.5376/ijmec.2025.15.0027","title":"Nutrient Cycling and Decomposition Processes in Grassland Ecosystems","year":2025,"lang":"","type":"article","venue":"International Journal of Molecular Ecology and Conservation","topic":"Forest, Soil, and Plant Ecology in China","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nutrient cycle; Biogeochemical cycle; Grassland; Ecosystem; Nutrient; Plant litter; Soil carbon; Carbon cycle; Terrestrial ecosystem","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001200594,0.0001363266,0.0002939096,0.0004772525,0.0001952191,0.0001161828,0.0002243584,0.0002921649,0.0000198214],"category_scores_gemma":[0.0006558062,0.0001420663,0.00004890541,0.0002385863,0.0002483522,0.0003222801,0.0000547113,0.0003036057,0.000001647909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001400066,"about_ca_system_score_gemma":0.0005828002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003059719,"about_ca_topic_score_gemma":0.009141149,"domain_scores_codex":[0.9982819,0.0003909998,0.0007179877,0.0001960942,0.0002307362,0.0001823036],"domain_scores_gemma":[0.9979492,0.0007561562,0.0005621288,0.00004596095,0.0006242542,0.00006228645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005292207,0.000248763,0.9625829,0.0001323516,0.0003594366,0.0003344297,0.002142582,0.0001566417,0.0007130198,0.03068958,0.0004334761,0.001677526],"study_design_scores_gemma":[0.005613341,0.0005923847,0.8465679,0.001675982,0.0002892427,0.0005903396,0.002990893,0.004131841,0.001967645,0.1244605,0.01070373,0.0004163056],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9750851,0.002737973,0.0008214687,0.01804221,0.002210008,0.0001881628,0.00001028111,0.000004474459,0.000900294],"genre_scores_gemma":[0.9929977,0.005718642,0.0001326952,0.0009465207,0.0001197815,0.000007011784,0.00001353455,0.000004305142,0.0000598064],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1160151,"threshold_uncertainty_score":0.5793294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008111437671188599,"score_gpt":0.299379961007855,"score_spread":0.2912685233366664,"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."}}