{"id":"W2015777421","doi":"10.1016/j.geoderma.2010.07.017","title":"Soil organic matter in nano-scale structures of a cultivated Black Chernozem","year":2010,"lang":"en","type":"article","venue":"Geoderma","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":54,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University; Agriculture and Agri-Food Canada","funders":"Natural Resources Canada; Agriculture and Agri-Food Canada","keywords":"Chernozem; Chemistry; Organic matter; Humin; Lignin; Thermal stability; Carbon fibers; Environmental chemistry; Chemical engineering; Mineralogy; Humic acid; Soil water; Organic chemistry; Materials science; Geology","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007260659,0.0001054527,0.0001458935,0.00001211812,0.00002998246,0.0000170468,0.0001906705,0.0001351654,0.001778938],"category_scores_gemma":[0.0000148217,0.00004156577,0.00005748306,0.0002363698,0.00008182219,0.00004505231,0.00005585675,0.000171228,0.0000761697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007821263,"about_ca_system_score_gemma":0.000006540783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007970537,"about_ca_topic_score_gemma":0.01179617,"domain_scores_codex":[0.9992872,0.00002709463,0.000173851,0.0001754382,0.0001252754,0.0002110828],"domain_scores_gemma":[0.9997457,0.00003493598,0.00005888997,0.00006436769,0.00004271107,0.00005336462],"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":[0.00001051037,0.00002925924,0.1982961,0.000004059528,0.000003565133,0.000001565827,0.0001128254,0.000003891578,0.8001562,0.00001928254,0.0001152035,0.001247552],"study_design_scores_gemma":[0.0001724287,0.00002383188,0.8568903,0.000004750747,0.000004342717,0.000008392687,0.0001388795,0.0009174507,0.1407739,0.0006993822,0.0002430294,0.0001233808],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981971,0.00001361152,2.750331e-7,0.0004655794,0.00009689377,0.00007874066,0.00001984547,0.00002787468,0.001100051],"genre_scores_gemma":[0.9992351,0.000004427208,0.00003955826,0.0003078383,0.00006947283,0.000002845913,0.00002761589,0.000001296261,0.0003118396],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6593823,"threshold_uncertainty_score":0.9991336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007035093517448105,"score_gpt":0.1982944453574443,"score_spread":0.1912593518399962,"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."}}