{"id":"W4406002409","doi":"10.1007/s10311-024-01817-0","title":"Micro-scale mapping of soil organic carbon using soft X-ray spectromicroscopy","year":2025,"lang":"en","type":"article","venue":"Environmental Chemistry Letters","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Light Source (Canada)","funders":"National Institute of Food and Agriculture","keywords":"Carbon fibers; Soil carbon; Total organic carbon; Soil organic matter; Soil water; Environmental chemistry; Chemistry; Carbon cycle; Dissolved organic carbon; Synchrotron; Soil science; Materials science; Environmental science; Ecology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001118368,0.0002706734,0.0002334809,0.0005194648,0.0002729128,0.0005860427,0.0002625072,0.000293459,0.001554157],"category_scores_gemma":[0.0002315135,0.0001840087,0.000176458,0.0004246285,0.0002939698,0.0003924826,0.000457773,0.0004243077,0.0004318476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003084101,"about_ca_system_score_gemma":0.0002734197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002055046,"about_ca_topic_score_gemma":0.003966846,"domain_scores_codex":[0.999866,0.000008940283,0.0000058302,0.00003692909,0.00006550772,0.0000166932],"domain_scores_gemma":[0.9998242,0.00006913819,0.00002718606,0.00001873615,0.0000420298,0.00001868873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004318214,0.00001063072,0.0012842,0.00002934629,0.000007320064,0.00002078072,0.00001750172,0.0003028629,0.9926965,0.0001116015,0.000111832,0.005364179],"study_design_scores_gemma":[0.00002538782,0.0001021356,0.05821976,0.00001291086,0.00002869553,0.0001808006,0.0001344532,0.01856137,0.9198954,0.0005438799,0.002271611,0.00002352605],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9423774,0.001002748,0.0496521,0.0001832789,0.00004170693,0.00007078356,0.001172697,0.0006437278,0.004855622],"genre_scores_gemma":[0.9521025,0.0006517984,0.0431664,0.000109167,0.00002327777,0.00007267803,0.0004448572,0.00007102128,0.003358185],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002055046,"threshold_uncertainty_score":0.005199194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004931895406205199,"score_gpt":0.1734022713074057,"score_spread":0.1684703759012005,"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."}}