{"id":"W2867110911","doi":"10.5539/jas.v10n8p341","title":"Role of Crop Rotations in the Dynamic of Soil Organic Matter Pools","year":2018,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação Agrisus; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Humus; Crop rotation; Crop residue; Agronomy; Soil organic matter; Organic matter; Soil carbon; Crop; Chemistry; Environmental science; Soil quality; Fractionation; Soil water; Agriculture; Soil science; Biology; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0005390114,0.0003615766,0.0002602901,0.0003150928,0.0002044703,0.0004085918,0.0002229068,0.0002148988,0.0005326759],"category_scores_gemma":[0.0006363877,0.0001630677,0.0002808221,0.0003084907,0.0003988048,0.0004429426,0.0003598389,0.0002066019,0.0001118246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004525552,"about_ca_system_score_gemma":0.000360966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00226286,"about_ca_topic_score_gemma":0.003577475,"domain_scores_codex":[0.9995497,0.0001459691,0.00003919664,0.0001525686,0.0000402046,0.00007245116],"domain_scores_gemma":[0.9991567,0.0002396392,0.0002760847,0.00007535774,0.00007660243,0.0001755683],"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":[0.002711998,0.0002471327,0.3306288,0.000149045,0.0003444806,0.0004024718,0.0002509799,0.001330599,0.650865,0.0001572106,0.00009165965,0.01282052],"study_design_scores_gemma":[0.00001343067,0.0005189205,0.988921,0.000004188438,0.00006271885,0.00008661716,0.0001598141,0.001023823,0.008734815,0.00004579438,0.0004175312,0.00001122092],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994438,0.0001725756,0.0001361902,0.000006932302,0.000001989831,0.000005689785,0.00007117943,0.000004467954,0.0001570619],"genre_scores_gemma":[0.9994917,0.00009028301,0.0001697037,0.0000131092,0.000001989215,0.000007038859,0.0001210864,0.000003704502,0.0001012804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00226286,"threshold_uncertainty_score":0.004499316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007722869745167837,"score_gpt":0.2207895420484837,"score_spread":0.2130666723033159,"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."}}