{"id":"W2881858341","doi":"10.5539/jas.v10n8p328","title":"Spatial Variability in Stability of Aggregates and Organic Matter of an Oxisol","year":2018,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Oxisol; Latosol; Organic matter; Tillage; Soil science; Soil organic matter; Spatial variability; Environmental science; Soil water; Mathematics; Agronomy; Chemistry; Statistics","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":[0.0002272797,0.000143213,0.0001371031,0.0007923858,0.0001782156,0.0003009209,0.0001423258,0.0000941555,0.0002215298],"category_scores_gemma":[0.0003598411,0.00008127026,0.0001157047,0.0005785864,0.0002305751,0.0001228048,0.0002066403,0.00006241845,0.00005038276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003224368,"about_ca_system_score_gemma":0.0001484569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009364047,"about_ca_topic_score_gemma":0.01672704,"domain_scores_codex":[0.9998692,0.00001826103,0.0000106671,0.00005145589,0.00002579687,0.00002465201],"domain_scores_gemma":[0.9995857,0.00007616929,0.0001757762,0.00002742466,0.00009469807,0.00004019762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002272974,0.0000336642,0.928889,0.00003621457,0.00005575255,0.0001775986,0.0006371599,0.0006057734,0.0642828,0.00005784336,0.00003544111,0.004961431],"study_design_scores_gemma":[0.000001743024,0.00003908571,0.9978698,0.000002031292,0.00001001247,0.00005009442,0.000196263,0.0003840557,0.001302882,0.0000149967,0.0001265516,0.000002282254],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997498,0.00002055496,0.00005979504,0.000001409877,2.102e-7,0.000001229141,0.00007087326,0.000001322408,0.00009475853],"genre_scores_gemma":[0.9996798,0.00001783947,0.00009305517,0.000001070986,6.595233e-7,0.000002583673,0.000142646,8.166068e-7,0.00006143999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009364047,"threshold_uncertainty_score":0.01861906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006950142955945695,"score_gpt":0.2146634097023533,"score_spread":0.2077132667464076,"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."}}