{"id":"W2797085919","doi":"10.1139/cjss-2017-0061","title":"Influence of long-term feedlot manure amendments on soil hydraulic conductivity, water-stable aggregates, and soil thermal properties during the growing season","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Soil Science","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Agriculture and Agri-Food Canada","funders":"","keywords":"Feedlot; Loam; Hydraulic conductivity; Manure; Bulk density; Soil water; Straw; Animal science; Environmental science; Soil conditioner; Soil science; Agronomy; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.000452199,0.0004298765,0.0005769182,0.0002460934,0.0003511459,0.0009015301,0.0004107056,0.0003685099,0.0006372811],"category_scores_gemma":[0.0006236522,0.0002179206,0.0003037902,0.0003102287,0.0003740036,0.0003212965,0.0003155843,0.0004321573,0.00008313257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00159177,"about_ca_system_score_gemma":0.001109471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01728557,"about_ca_topic_score_gemma":0.05420889,"domain_scores_codex":[0.9996194,0.00005915345,0.0000449597,0.0001140886,0.00006960773,0.00009285408],"domain_scores_gemma":[0.9990011,0.0002567839,0.0003097664,0.00005082146,0.0001513055,0.0002301763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00320455,0.0004040076,0.05322687,0.0002210477,0.0001560614,0.0001575461,0.0001421977,0.0006208278,0.9352542,0.00002764669,0.00008564736,0.006499374],"study_design_scores_gemma":[0.00006298232,0.005353556,0.769223,0.00002848055,0.0001836669,0.0001031605,0.0004999859,0.001750565,0.2205823,0.00005157191,0.002124653,0.00003608398],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994125,0.0001820941,0.00007709894,0.00001413978,0.000008573617,0.000009100148,0.0001446806,0.000005378984,0.0001463445],"genre_scores_gemma":[0.998693,0.0001516746,0.0003340374,0.00004690369,0.000006301035,0.0000187954,0.000238746,0.000004779356,0.0005057188],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01728557,"threshold_uncertainty_score":0.03436989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01680128040406793,"score_gpt":0.20214176524265,"score_spread":0.185340484838582,"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."}}