{"id":"W1969720224","doi":"10.2136/sssaj2006.0018","title":"A Model to Predict Soil Aggregate Stability Dynamics following Organic Residue Incorporation under Field Conditions","year":2008,"lang":"en","type":"article","venue":"Soil Science Society of America Journal","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Soil science; Stability (learning theory); Biological system; Environmental science; Aggregate (composite); Lignin; Water content; Chemistry; Materials science; Geotechnical engineering; Computer science; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007211574,0.0001586066,0.0002418468,0.00002699587,0.001268213,0.00008169981,0.0005225388,0.0000921578,0.00008287789],"category_scores_gemma":[0.0001884616,0.00008043059,0.000360958,0.001527833,0.0006691068,0.0004645936,0.0001384903,0.0003235824,0.000007102326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000281173,"about_ca_system_score_gemma":0.0003913457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000556459,"about_ca_topic_score_gemma":0.0009965582,"domain_scores_codex":[0.9979519,0.00005925403,0.0003862696,0.0003305821,0.0008362225,0.0004357991],"domain_scores_gemma":[0.9987911,0.0001438895,0.000292892,0.00011182,0.0003249801,0.0003352901],"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":[0.00005930927,0.0003289552,0.1015791,0.00001014757,0.0000755756,0.000009497922,0.00292015,0.01201982,0.8722559,0.0001802752,0.002706626,0.007854644],"study_design_scores_gemma":[0.0004638179,0.001085569,0.1064011,0.00007098555,0.0000571413,0.0001746233,0.01057147,0.8413013,0.02812761,0.01110544,0.00003536857,0.0006055761],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927557,0.00002220903,0.002725455,0.003783321,0.0001566923,0.0001183228,0.00003100374,0.00004557171,0.0003617455],"genre_scores_gemma":[0.995563,0.00009989332,0.002640637,0.001529813,0.00009145308,0.000004656888,0.00001333926,0.000001984868,0.00005523632],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8441283,"threshold_uncertainty_score":0.9754199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02530055127345173,"score_gpt":0.2443350894571681,"score_spread":0.2190345381837164,"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."}}