{"id":"W2738427696","doi":"10.2136/sssaj2016.09.0305","title":"Response of Deep Soil Carbon Pools to Forest Management in a Highly Productive Andisol","year":2017,"lang":"en","type":"article","venue":"Soil Science Society of America Journal","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Weyerhauser (Canada)","funders":"Pacific Northwest Research Station; National Science Council; U.S. Forest Service; National Science Foundation","keywords":"Andisol; Environmental science; Soil carbon; Carbon fibers; Agroforestry; Soil science; Soil water; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001585659,0.000248086,0.0001749674,0.000264229,0.0002550154,0.000426821,0.00020344,0.0001682777,0.0005207841],"category_scores_gemma":[0.0003664444,0.0001191221,0.00009145867,0.0001732075,0.0002735213,0.0001468933,0.000342943,0.0002200421,0.00007425751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006505561,"about_ca_system_score_gemma":0.0003323032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01432406,"about_ca_topic_score_gemma":0.04855248,"domain_scores_codex":[0.9998755,0.00002352887,0.000007001239,0.00002535716,0.00001368112,0.00005479429],"domain_scores_gemma":[0.9994173,0.00008551232,0.0001526387,0.00002125383,0.00006625352,0.0002571247],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002108332,0.0007526499,0.7866126,0.00005502291,0.0001193066,0.0006246989,0.0007494424,0.000528666,0.200075,0.0000853469,0.000121918,0.008167117],"study_design_scores_gemma":[0.00001241991,0.0004354807,0.9960667,0.000003288401,0.00001193297,0.00008629705,0.0004585661,0.0002574551,0.002435274,0.00003766865,0.0001909869,0.000003989608],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998674,0.00001107415,0.00001053825,0.000002681462,2.645034e-7,0.000001222634,0.0000145166,8.108384e-7,0.00009148159],"genre_scores_gemma":[0.9997366,0.00001524851,0.00003658975,0.000009751419,5.829603e-7,0.000002619108,0.00005279769,9.450953e-7,0.0001447778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01432406,"threshold_uncertainty_score":0.02848136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01278378685037194,"score_gpt":0.2510732644908768,"score_spread":0.2382894776405049,"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."}}