{"id":"W4402592743","doi":"10.1016/j.catena.2024.108404","title":"Fertilization and tillage influence on soil organic carbon fractions: A global meta-analysis","year":2024,"lang":"en","type":"article","venue":"CATENA","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":51,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Basic and Applied Basic Research Foundation of Guangdong Province; Natural Science Foundation of Guangxi Province; National Natural Science Foundation of China","keywords":"Tillage; Soil carbon; Environmental science; Soil science; Carbon fibers; Human fertilization; Agronomy; Mathematics; Soil water; Biology","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":[0.00009263607,0.0001049574,0.0001927188,0.0000185195,0.00006701238,0.0001077317,0.0000701379,0.00006777588,0.0001459967],"category_scores_gemma":[0.00003037024,0.00003731667,0.0001941568,0.001041811,0.00002858672,0.00006026513,0.00002533783,0.0000632841,0.00002627458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003953651,"about_ca_system_score_gemma":0.000006864223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005320462,"about_ca_topic_score_gemma":0.002720732,"domain_scores_codex":[0.9993293,0.0000387882,0.0001034286,0.0002646568,0.000138455,0.0001254309],"domain_scores_gemma":[0.9997501,0.00006871624,0.00002488752,0.00004982466,0.00004263591,0.00006385125],"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":[0.0003284737,0.000725856,0.08704159,0.0002185802,0.1364935,0.0003934766,0.001343304,0.00650105,0.6861109,0.01512505,0.001870502,0.0638477],"study_design_scores_gemma":[0.0002234478,0.0005679559,0.688143,0.00001672028,0.1078164,0.00005481672,0.0006370317,0.1840542,0.007570434,0.005055851,0.004597108,0.001263088],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956875,0.001934187,0.000003443552,0.001288306,0.00004315317,0.00006052796,0.00002686837,0.0001136133,0.000842336],"genre_scores_gemma":[0.999236,0.00006786393,0.000003557763,0.0003827235,0.00003572263,0.00001094898,0.00003217553,7.61079e-7,0.0002302534],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6785405,"threshold_uncertainty_score":0.1598561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03047937822301734,"score_gpt":0.2506318174510355,"score_spread":0.2201524392280182,"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."}}