{"id":"W1991283412","doi":"10.2136/sssaj2002.1350","title":"Nitrogen Dynamics of Decomposing Corn Residue Components Under Three Tillage Systems","year":2002,"lang":"en","type":"article","venue":"Soil Science Society of America Journal","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Crop residue; Tillage; Husk; Residue (chemistry); Nitrogen; Agronomy; Chemistry; Conventional tillage; Growing season; Botany; Biology; Agriculture; Ecology; Biochemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006904363,0.0001750823,0.0003633265,0.00003009933,0.0005770698,0.0001155515,0.0007724253,0.00008808581,0.000114975],"category_scores_gemma":[0.00003475947,0.00008204001,0.0003676869,0.001147004,0.001433428,0.0002524111,0.0001405803,0.0002698563,0.000009007897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001839907,"about_ca_system_score_gemma":0.00004153747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001081442,"about_ca_topic_score_gemma":0.0001329461,"domain_scores_codex":[0.9976626,0.00006995333,0.0005137201,0.0002701419,0.0009862174,0.0004973447],"domain_scores_gemma":[0.9985092,0.0001513858,0.0006226142,0.0001072251,0.0003651542,0.0002443768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005909089,0.0005110317,0.2382488,0.0000592826,0.0002064836,0.000009428222,0.001217532,0.004011388,0.7036232,0.0006992111,0.001834059,0.04952048],"study_design_scores_gemma":[0.0004878547,0.0006121992,0.09123544,0.0001539912,0.00006039965,0.0002937387,0.008298915,0.8912718,0.003931928,0.002951879,0.000207721,0.0004940802],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997418,0.0003746382,0.0003787878,0.0006931234,0.0002693722,0.0000968457,0.00002807139,0.00002500124,0.0007161048],"genre_scores_gemma":[0.9976941,0.0003164418,0.001661605,0.0001773105,0.0001131121,0.000001202258,0.000005660425,0.000002229413,0.00002834492],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8872605,"threshold_uncertainty_score":0.5281523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02557207855556811,"score_gpt":0.2277926036865776,"score_spread":0.2022205251310095,"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."}}