{"id":"W1978140429","doi":"10.1590/s0100-06832013000400013","title":"Partição de substâncias húmicas em solos brasileiros","year":2013,"lang":"pt","type":"article","venue":"Revista Brasileira de Ciência do Solo","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Environment","funders":"","keywords":"Histosol; Forestry; Entisol; Total organic carbon; Soil water; Chemistry; Physics; Environmental science; Soil science; Soil organic matter; Geography; Environmental chemistry; Soil biodiversity","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":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001137642,0.001009139,0.001175108,0.00009475011,0.0006922713,0.00162088,0.001450014,0.00106014,0.005613062],"category_scores_gemma":[0.000709323,0.0005847425,0.0009286045,0.001202484,0.0003830421,0.0004628022,0.0004030293,0.001004231,0.003255226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005982714,"about_ca_system_score_gemma":0.0002605054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009413247,"about_ca_topic_score_gemma":0.0009070953,"domain_scores_codex":[0.9934306,0.0008485208,0.001199001,0.001339599,0.0007687644,0.002413584],"domain_scores_gemma":[0.9964044,0.0007064272,0.0006097629,0.0006095347,0.0003775684,0.001292285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008636053,0.0005456308,0.905076,0.0001815181,0.0001868544,0.0001308558,0.001321061,0.00001412966,0.05640701,0.001767812,0.0186399,0.01564285],"study_design_scores_gemma":[0.0005691539,0.0005266297,0.9828588,0.00027157,0.0002327956,0.0002114897,0.002851644,0.006825445,0.001999112,0.0003893771,0.001872655,0.001391285],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926315,0.003265846,0.00004278721,0.0006071983,0.0004132217,0.001283774,0.0001867341,0.0003695018,0.001199467],"genre_scores_gemma":[0.9924059,0.0003125171,0.0001711629,0.002722776,0.001261117,0.000206425,0.0001292942,0.00003472352,0.002756099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07778282,"threshold_uncertainty_score":0.9996604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02549852387704078,"score_gpt":0.2536473415036667,"score_spread":0.2281488176266259,"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."}}