{"id":"W4409238125","doi":"10.1111/sum.70055","title":"Conservation farming prefers restoring plant lignin and microbial necromass in the particulate to mineral‐associated organic matter","year":2025,"lang":"en","type":"article","venue":"Soil Use and Management","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Key Research and Development Program of China; University of Toronto; Chinese Academy of Sciences; University of Toronto Scarborough; National Natural Science Foundation of China","keywords":"Lignin; Particulates; Environmental science; Organic matter; Agriculture; Particulate organic matter; Environmental chemistry; Agroforestry; Chemistry; Ecology; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001545507,0.0001993994,0.0001996362,0.0002301022,0.0002590794,0.0003621284,0.0002257385,0.0002028183,0.00119364],"category_scores_gemma":[0.0001245463,0.00009397521,0.0001484566,0.0002714854,0.0002903795,0.0003985154,0.0002254914,0.000184615,0.00009106444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006390456,"about_ca_system_score_gemma":0.000484661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005607279,"about_ca_topic_score_gemma":0.01508988,"domain_scores_codex":[0.9999007,0.00001012451,0.000006173638,0.00003816085,0.00001621729,0.0000285407],"domain_scores_gemma":[0.9998347,0.0000113579,0.00006361349,0.00001538839,0.00002680419,0.0000481182],"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":[0.0002179402,0.0001152925,0.02497133,0.0001390145,0.00003036303,0.0001487489,0.0001453594,0.0001872105,0.9635788,0.00008458194,0.00007074213,0.0103106],"study_design_scores_gemma":[0.00001031738,0.0006823858,0.9265931,0.00001920494,0.00004002206,0.0002340415,0.0005623791,0.001064554,0.06771632,0.000132258,0.002932705,0.0000127216],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993767,0.0000967761,0.0001724574,0.00001726237,0.00000202586,0.000005029134,0.00002074343,0.000005020029,0.0003038988],"genre_scores_gemma":[0.9986036,0.00009893819,0.0004648175,0.00003781036,0.000002491082,0.000006577935,0.00006949828,0.000002413185,0.0007138603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005607279,"threshold_uncertainty_score":0.01114929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01763947776900434,"score_gpt":0.205053292224272,"score_spread":0.1874138144552677,"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."}}