{"id":"W2613408791","doi":"10.1111/gcb.13751","title":"Plant litter chemistry alters the content and composition of organic carbon associated with soil mineral and aggregate fractions in invaded ecosystems","year":2017,"lang":"en","type":"article","venue":"Global Change Biology","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":132,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; National Institute of Food and Agriculture; Clemson University","keywords":"Kudzu; Litter; Soil water; Edaphic; Soil organic matter; Plant litter; Organic matter; Chemistry; Ecosystem; Context (archaeology); Environmental chemistry; Soil carbon; Soil chemistry; Botany; Ecology; Agronomy; Biology","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":[0.00008931418,0.0000813124,0.0001450801,0.000003074899,0.00009317478,0.00002240862,0.0000907422,0.00009830914,0.000004553699],"category_scores_gemma":[0.00002464188,0.00002900191,0.00001598824,0.00004099067,0.0001368277,0.00002785789,0.00005355814,0.00006008764,1.946553e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003311844,"about_ca_system_score_gemma":0.000003353065,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006149039,"about_ca_topic_score_gemma":0.03193974,"domain_scores_codex":[0.9995356,0.00005227328,0.00009917844,0.0001389671,0.00004009761,0.0001338725],"domain_scores_gemma":[0.999701,0.00004756416,0.0001418396,0.00004706304,0.00002725428,0.0000353321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005801592,0.00002631609,0.855396,0.000005447417,0.00002528424,0.000004109428,0.00006417945,3.047806e-8,0.1438994,0.00002008312,0.000006472372,0.000494617],"study_design_scores_gemma":[0.0003928105,0.0001580739,0.9966598,0.0000492837,0.00001717965,0.00003954043,0.0001984523,0.0009746033,0.001328058,0.00006116043,0.00002700248,0.00009409208],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980748,0.0002398331,5.704526e-8,0.001224727,0.0000586039,0.0001220684,0.0001643949,0.000008703388,0.0001067968],"genre_scores_gemma":[0.9995956,0.00007120751,8.749226e-7,0.0001308967,0.0000678018,0.0000131002,0.0001141252,4.628042e-7,0.000005860092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1425714,"threshold_uncertainty_score":0.9857248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.043212735511114,"score_gpt":0.2266207523720644,"score_spread":0.1834080168609504,"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."}}