{"id":"W2791206592","doi":"10.5539/jas.v10n4p192","title":"Simulated Traffic Dynamic Loading on Physical Properties of a Red Latosol under No-Tillage","year":2018,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Soil Management and Crop Yield","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Traffic intensity; Tillage; Environmental science; Bulk density; Compaction; Soil compaction; Latosol; Consolidation (business); Soil science; Geotechnical engineering; Geology; Soil water; Engineering; Agronomy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0001134314,0.0002837451,0.0002158601,0.0001711369,0.0001985663,0.0002909767,0.0001666254,0.0002036911,0.000553445],"category_scores_gemma":[0.0001501254,0.00009952956,0.0001778433,0.0001587143,0.0002114349,0.0001331252,0.0001786429,0.0001681999,0.00007760002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002602346,"about_ca_system_score_gemma":0.000263151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004300299,"about_ca_topic_score_gemma":0.009090593,"domain_scores_codex":[0.9999061,0.00001185331,0.000005965779,0.00002331357,0.0000299813,0.00002280122],"domain_scores_gemma":[0.9998702,0.00001930857,0.00003579786,0.000009885769,0.00003587116,0.00002893014],"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":[0.001289821,0.0003858891,0.04842754,0.0001034746,0.00006831771,0.0003221233,0.0002733623,0.002405063,0.9426165,0.0000597691,0.00005803393,0.003990229],"study_design_scores_gemma":[0.00004890281,0.005616643,0.8191735,0.00002524862,0.00015161,0.0001480476,0.001013238,0.007216426,0.1650999,0.0001136013,0.001358738,0.00003405449],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998604,0.0000161573,0.00002610526,0.000001555489,9.257085e-7,0.00000163335,0.00002720815,0.000001044189,0.00006495092],"genre_scores_gemma":[0.9995767,0.00004081719,0.00007767994,0.000006697397,0.000001134079,0.000004477779,0.00009260419,0.000001623737,0.0001982074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004300299,"threshold_uncertainty_score":0.008550525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02021881055734788,"score_gpt":0.2279250677738853,"score_spread":0.2077062572165374,"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."}}