{"id":"W2131119715","doi":"10.1007/s00254-007-0783-x","title":"Soil improvement with coal ash and sewage sludge: a field experiment","year":2007,"lang":"en","type":"article","venue":"Environmental Geology","topic":"Coal and Its By-products","field":"Earth and Planetary Sciences","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Resources Canada; State Key Laboratory of Geological Processes and Mineral Resources; China University of Geosciences; Chinese Academy of Sciences","keywords":"Soil water; Sewage sludge; Environmental science; Sowing; Coal; Field experiment; Nutrient; Agronomy; Sewage; Soil science; Environmental engineering; Chemistry; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.002077561,0.001286359,0.001916612,0.0009313182,0.00181018,0.0007765279,0.00187357,0.002070719,0.001923561],"category_scores_gemma":[0.002053808,0.0005987735,0.001209511,0.001072642,0.001409186,0.001185237,0.0008193342,0.001830322,0.0002989877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00173586,"about_ca_system_score_gemma":0.003034298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01416899,"about_ca_topic_score_gemma":0.0179111,"domain_scores_codex":[0.9987018,0.0003145692,0.0001054089,0.0003950604,0.0002253545,0.000257866],"domain_scores_gemma":[0.9951749,0.002034563,0.0005590098,0.0004913829,0.0005953251,0.001144827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.04110726,0.04139438,0.00437159,0.0004297353,0.0002431276,0.0002645871,0.0007892438,0.001414438,0.9005415,0.0002488215,0.0002936401,0.008901608],"study_design_scores_gemma":[0.01028021,0.2399014,0.03142052,0.00003497382,0.0007140693,0.000288481,0.0008876911,0.004246988,0.7091409,0.0005885148,0.002374887,0.0001213777],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989607,0.00003880573,0.0004017433,0.00004349663,0.00001403521,0.0001485863,0.0001383915,0.00002195882,0.000232159],"genre_scores_gemma":[0.9923205,0.0001800718,0.0040425,0.0001494214,0.00002878699,0.0002743579,0.0005641846,0.00003159685,0.002408622],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01416899,"threshold_uncertainty_score":0.02817309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004883398681396397,"score_gpt":0.1735093305220264,"score_spread":0.16862593184063,"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."}}