{"id":"W1975873443","doi":"10.5539/sar.v2n2p124","title":"Variations in Soil Carbon Stocks with Texture and Previous Landuse in North-western NSW, Australia","year":2013,"lang":"en","type":"article","venue":"Sustainable Agriculture Research","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Soil carbon; Carbon sequestration; Environmental science; Soil water; Land use; Soil texture; Carbon fibers; Soil science; Land management; Soil classification; Hydrology (agriculture); Geology; Ecology; Carbon dioxide; Mathematics; Biology","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":[0.0002996332,0.0001298091,0.0001405225,0.0006627075,0.0004253573,0.0003838952,0.0002535039,0.0001469041,0.0005768814],"category_scores_gemma":[0.0006199317,0.0001899299,0.0001495716,0.0007384493,0.0004913143,0.0002389421,0.0004655018,0.0001244785,0.0001154084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001572858,"about_ca_system_score_gemma":0.000674445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3346451,"about_ca_topic_score_gemma":0.5852677,"domain_scores_codex":[0.9997963,0.0000376274,0.00001923598,0.00005113574,0.00005726756,0.00003846893],"domain_scores_gemma":[0.9994129,0.00006639339,0.0001944832,0.00002657303,0.0001793165,0.0001203663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006916982,0.00004820862,0.9851363,0.00003228657,0.00006170083,0.0003325937,0.003255164,0.0002385982,0.002881919,0.0000534372,0.000182757,0.00770803],"study_design_scores_gemma":[4.564657e-7,0.00001016823,0.9994587,0.000002107394,0.000002334858,0.00002496957,0.0002826229,0.00008947321,0.00003520012,0.000004829529,0.00008805365,0.000001029504],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995506,0.00003273409,0.00002424785,0.00001244679,5.786956e-7,0.000002933606,0.00005604649,8.610921e-7,0.0003194452],"genre_scores_gemma":[0.9993564,0.00003526092,0.00006484851,0.000008147439,7.524051e-7,0.000004527309,0.00006878104,5.68672e-7,0.0004606498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3346451,"threshold_uncertainty_score":0.6653944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02421258359195668,"score_gpt":0.2705197076045875,"score_spread":0.2463071240126309,"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."}}