{"id":"W2802500623","doi":"10.1016/j.still.2018.04.011","title":"Increasing organic stocks in agricultural soils: Knowledge gaps and potential innovations","year":2018,"lang":"en","type":"article","venue":"Soil and Tillage Research","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":711,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agence Nationale de la Recherche","keywords":"Soil carbon; Environmental science; Soil organic matter; Soil functions; Soil water; Soil fertility; Agriculture; Food security; Carbon sequestration; Agroforestry; Soil biodiversity; Environmental resource management; Soil science; Ecology; Biology","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":[0.007893329,0.0005633789,0.0009180064,0.002193297,0.0003414268,0.004669806,0.001519107,0.001666328,0.00406689],"category_scores_gemma":[0.0181025,0.000280915,0.0004419825,0.003521025,0.002486171,0.008823143,0.001491731,0.001139611,0.0003407375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001739939,"about_ca_system_score_gemma":0.005872669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007887932,"about_ca_topic_score_gemma":0.01793147,"domain_scores_codex":[0.9984193,0.0004333763,0.00018718,0.0004471545,0.0003241959,0.0001887418],"domain_scores_gemma":[0.9673073,0.02270107,0.004825923,0.001205171,0.003156739,0.000803727],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003543444,0.0003467158,0.06975604,0.008177871,0.0004028434,0.0002262145,0.001147174,0.001509955,0.002153724,0.01192837,0.00351673,0.9004801],"study_design_scores_gemma":[0.0002293041,0.001313688,0.34502,0.0360925,0.002259547,0.001432237,0.02896233,0.009418936,0.01165972,0.2854849,0.2777886,0.0003381683],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.2021099,0.7157451,0.00580103,0.060436,0.001118122,0.00004159384,0.001394035,0.00006961209,0.01328474],"genre_scores_gemma":[0.523147,0.461655,0.006305207,0.005781309,0.001655649,0.00002779726,0.0004788115,0.0000161045,0.0009330777],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.007893329,"threshold_uncertainty_score":0.04174441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0353336780865892,"score_gpt":0.2990093775540129,"score_spread":0.2636756994674236,"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."}}