{"id":"W4407823539","doi":"10.1111/1365-2745.70011","title":"The afterlife effects of leaf and root litter traits on soil N cycling","year":2025,"lang":"en","type":"article","venue":"Journal of Ecology","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Université du Québec en Abitibi-Témiscamingue","funders":"Agence Nationale de la Recherche; Laboratoire d'Excellence TULIP; Centre Méditerranéen de l’Environnement et de la Biodiversité","keywords":"Cycling; Afterlife; Litter; Plant litter; Environmental science; Agronomy; Biology; Ecology; Forestry; Geography; Ecosystem","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":[0.0002512216,0.00005332906,0.0001517836,0.00001473466,0.00007195518,0.00001415105,0.0001108027,0.00006683222,0.000006977558],"category_scores_gemma":[0.0001499794,0.00001601469,0.00007495155,0.00008123353,0.00005652545,0.00002102628,0.00002457205,0.0001287552,8.480877e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001192988,"about_ca_system_score_gemma":0.000009881475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006357576,"about_ca_topic_score_gemma":0.0009246424,"domain_scores_codex":[0.9994963,0.00008457319,0.0001851041,0.00005834,0.00006494337,0.0001106818],"domain_scores_gemma":[0.9986183,0.001139901,0.0001391963,0.00001665253,0.00005286363,0.00003307439],"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":[0.00101544,0.0004269471,0.293043,0.00008526829,0.0003469186,0.0001027945,0.0003145148,0.00007413933,0.4018345,0.00353935,0.004494904,0.2947222],"study_design_scores_gemma":[0.0002537988,0.0006854415,0.9920611,0.00002713434,0.00002417228,0.00001598059,0.00007430121,0.00009398862,0.004547194,0.001162273,0.001016684,0.0000379357],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993896,0.0003571879,9.163138e-7,0.005097319,0.0002777925,0.0000408217,6.173374e-7,0.000002426015,0.000326919],"genre_scores_gemma":[0.9990067,0.00007591538,0.000008099883,0.0006767408,0.0001079476,0.000001183523,1.638137e-7,3.021673e-7,0.0001228917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6990181,"threshold_uncertainty_score":0.065306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005027027362870176,"score_gpt":0.2129565661528347,"score_spread":0.2079295387899645,"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."}}