{"id":"W4410384091","doi":"10.1016/j.soilbio.2025.109843","title":"Minerals, microbes and melanin drive differential incorporation of fungal necromass carbon and nitrogen into mineral-associated organic matter","year":2025,"lang":"en","type":"article","venue":"Soil Biology and Biochemistry","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Canada Foundation for Innovation; U.S. Department of Energy; Biological and Environmental Research; National Science Foundation","keywords":"Organic matter; Nitrogen; Carbon fibers; Mineral; Environmental chemistry; Chemistry; Environmental science; Materials science; Organic chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.00004916831,0.0001159462,0.000167698,0.00001270383,0.0000913199,0.0000183555,0.00005231108,0.0002183111,0.0001486688],"category_scores_gemma":[0.00004315737,0.00005417659,0.00002416454,0.00008725795,0.00005228642,0.0000211118,0.00007434376,0.00009392152,0.00000150479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007500096,"about_ca_system_score_gemma":0.000007775229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009448035,"about_ca_topic_score_gemma":0.0004105614,"domain_scores_codex":[0.999446,0.00004379129,0.0001546261,0.0002176177,0.00002439368,0.0001135799],"domain_scores_gemma":[0.9996142,0.0002028135,0.00007703931,0.00002954004,0.00003780461,0.00003856548],"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":[0.0000266182,0.00001862439,0.3855727,0.00001317149,0.00002604938,5.135441e-7,0.00001655893,8.357954e-9,0.6134672,0.00002975529,0.000506717,0.000322126],"study_design_scores_gemma":[0.0002116178,0.0001328682,0.1223339,0.00008653596,0.0000777911,0.00003059931,0.0001930443,0.00006289385,0.8730186,0.003219498,0.0004101026,0.0002226259],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973251,0.001029245,6.900973e-7,0.000842499,0.00006928127,0.00005570761,0.0002584611,0.00001232956,0.0004066633],"genre_scores_gemma":[0.9980486,0.0003005826,0.00001341056,0.0001171439,0.00004750092,0.000004056613,0.00103861,5.943039e-7,0.0004294756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2632388,"threshold_uncertainty_score":0.2209257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003169513839593751,"score_gpt":0.190712958733749,"score_spread":0.1875434448941552,"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."}}