{"id":"W2048775038","doi":"10.1016/s0269-7491(01)00262-7","title":"Changes in soil quality and below-ground carbon storage with conversion of traditional agricultural crop lands to bioenergy crop production","year":2002,"lang":"en","type":"article","venue":"Environmental Pollution","topic":"Bioenergy crop production and management","field":"Agricultural and Biological Sciences","cited_by":116,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Environmental science; Soil carbon; Agronomy; Bioenergy; Biomass (ecology); Cover crop; No-till farming; Soil quality; Agroforestry; Carbon sequestration; Soil water; Biofuel; Soil fertility; Biology; Soil science; Ecology; Carbon dioxide","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":[0.0002515974,0.0001329068,0.0001965745,0.0003158145,0.0002388157,0.0005323128,0.0002398087,0.0004730122,0.00192713],"category_scores_gemma":[0.0007765801,0.0001633293,0.000269548,0.0005703605,0.0004409628,0.000446051,0.0002275401,0.0003795168,0.0001957983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005770467,"about_ca_system_score_gemma":0.0002961872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009707143,"about_ca_topic_score_gemma":0.01449198,"domain_scores_codex":[0.9999037,0.00002118115,0.000007487356,0.000024222,0.00001751966,0.00002584071],"domain_scores_gemma":[0.999433,0.0001651338,0.000164557,0.00003000767,0.00008705427,0.0001202319],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01622101,0.001332319,0.8057054,0.00008626324,0.0002518039,0.0009426502,0.0004607852,0.001988211,0.1599366,0.0002334211,0.0003096742,0.01253187],"study_design_scores_gemma":[0.00001827504,0.0003014635,0.9954677,9.629465e-7,0.00001576669,0.0001144663,0.0001413199,0.0006052652,0.003175544,0.00007549767,0.00008001964,0.000003716788],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996885,0.0000215494,0.0000472582,0.00001125852,0.00000109728,0.000002353325,0.00008236578,0.000002170405,0.0001434916],"genre_scores_gemma":[0.9993854,0.00001875314,0.00006152901,0.00001368636,0.000001524409,0.000003239697,0.0001422762,0.000001647961,0.0003719287],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009707143,"threshold_uncertainty_score":0.0193013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02798124300790475,"score_gpt":0.1896435328037943,"score_spread":0.1616622897958896,"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."}}