{"id":"W2155236826","doi":"10.2136/sssaj2002.1981","title":"Measuring and Understanding Carbon Storage in Afforested Soils by Physical Fractionation","year":2002,"lang":"en","type":"article","venue":"Soil Science Society of America Journal","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":684,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"U.S. Department of Energy","keywords":"Soil water; Fractionation; Ecosystem; Environmental science; Afforestation; Soil carbon; Organic matter; Total organic carbon; Environmental chemistry; Soil organic matter; Soil science; Aggregate (composite); Chemistry; Agroforestry; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004307368,0.00009252559,0.0001464726,0.00002288986,0.0003159362,0.00008248051,0.0001684134,0.00004170373,0.0000236612],"category_scores_gemma":[0.00004335977,0.00004540574,0.00009135556,0.0007808568,0.0005695162,0.0003026925,0.00003985736,0.0002370539,7.165181e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002405686,"about_ca_system_score_gemma":0.00001665174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000348634,"about_ca_topic_score_gemma":0.00005739036,"domain_scores_codex":[0.9987504,0.00003859217,0.0001508094,0.0001884565,0.000594692,0.0002770459],"domain_scores_gemma":[0.9995146,0.00009708322,0.0001742018,0.00002891182,0.00006012216,0.0001250176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002692701,0.0004818234,0.1074319,0.00001710434,0.00003898027,0.000005275,0.006980987,0.00106945,0.7927435,0.0001299354,0.001200754,0.08987333],"study_design_scores_gemma":[0.0004812761,0.0003234019,0.1219085,0.0000580942,0.00001605805,0.00006300971,0.01859671,0.8518312,0.004043725,0.002121907,0.0002027041,0.0003533983],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980173,0.0001331465,0.00004551126,0.0009317562,0.00006442052,0.00004165114,0.000002769372,0.00001362268,0.000749788],"genre_scores_gemma":[0.9993452,0.0003247954,0.0001268248,0.0001100135,0.00007056999,0.000001109447,9.232508e-7,8.627064e-7,0.00001968305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8507617,"threshold_uncertainty_score":0.2429958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03985297434796289,"score_gpt":0.2269849970893551,"score_spread":0.1871320227413922,"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."}}