{"id":"W2299510955","doi":"10.2134/jeq2015.01.0001","title":"Evaluation of Soil Manipulation to Prepare Engineered Earthen Waste Covers for Revegetation","year":2015,"lang":"en","type":"article","venue":"Journal of Environmental Quality","topic":"Tree Root and Stability Studies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Smiths Detection (Canada)","funders":"Office of Legacy Management; U.S. Department of Energy","keywords":"Loam; Trench; Water content; Revegetation; Cobble; Environmental science; Geotechnical engineering; Seedbed; Geology; Soil texture; Soil water; Soil science; Layer (electronics); Materials science; Land reclamation; Agronomy; Composite material; Ecology","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":[0.0003243641,0.0004132101,0.0002921773,0.0002528356,0.0001562245,0.0003630915,0.0003950773,0.0002608049,0.0006898085],"category_scores_gemma":[0.000422756,0.0001266224,0.0002452065,0.0002028943,0.0001790401,0.0002156284,0.0002714376,0.0002020138,0.00009220933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000207787,"about_ca_system_score_gemma":0.0002162016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004629192,"about_ca_topic_score_gemma":0.001350804,"domain_scores_codex":[0.9997383,0.0000630391,0.00002401397,0.00005047641,0.00008237609,0.00004188694],"domain_scores_gemma":[0.9996853,0.00008079244,0.00008978305,0.00002627,0.00005235296,0.00006565912],"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":[0.001025444,0.0009630359,0.002831034,0.0001840157,0.00003779946,0.00007823809,0.00004519238,0.001015023,0.9840472,0.00003386884,0.00001497318,0.00972431],"study_design_scores_gemma":[0.00009376568,0.03621151,0.03858059,0.00001515379,0.0001036614,0.0001475091,0.0001739795,0.002194965,0.9213943,0.0000359509,0.001030777,0.00001773242],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992628,0.00005971884,0.0004765606,0.000002861127,0.000002380163,0.00003099414,0.00002874184,0.000006416659,0.0001295449],"genre_scores_gemma":[0.9943491,0.0001831977,0.004609835,0.00001726282,0.000002372598,0.00005079552,0.0001815332,0.00001099777,0.0005950163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006898085,"threshold_uncertainty_score":0.002307653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09562122871087139,"score_gpt":0.3130143641676076,"score_spread":0.2173931354567362,"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."}}