{"id":"W2800793865","doi":"10.5539/sar.v7n2p74","title":"On-farm Assessments of Pasture Rejuvenation Methods on Soil Quality Indicators in Northern Alberta (Canada)","year":2018,"lang":"en","type":"article","venue":"Sustainable Agriculture Research","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Northwestern Polytechnic","funders":"Alberta Crop Industry Development Fund","keywords":"Grazing; Pasture; Environmental science; Agronomy; Livestock; Soil quality; Forage; Agroforestry; Manure; Soil fertility; Soil water; Biology; Geography; Forestry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002705899,0.0001962473,0.0002870894,0.0001357374,0.0003167032,0.00005623436,0.0004970692,0.0002473319,0.00006266919],"category_scores_gemma":[0.0009007685,0.00007341955,0.00008185809,0.003288068,0.0001478711,0.00005735556,0.0001630073,0.0006365333,0.000006197823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006814207,"about_ca_system_score_gemma":0.0002325407,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.423252,"about_ca_topic_score_gemma":0.9485381,"domain_scores_codex":[0.9959038,0.001240543,0.0003219483,0.0004745789,0.001292393,0.0007667504],"domain_scores_gemma":[0.997283,0.001349316,0.0001467788,0.0001484691,0.0009058742,0.000166516],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002231336,0.003505837,0.4059142,0.0004216183,0.0002996618,0.0001957724,0.002069651,0.0003070214,0.09145945,0.1708945,0.02242599,0.300275],"study_design_scores_gemma":[0.0005883111,0.001894588,0.9138241,0.00006588471,0.000009147809,0.000002306961,0.01918558,0.000136264,0.01913498,0.004318828,0.0403784,0.000461573],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9698809,0.00003509191,0.000002038105,0.002714718,0.00005849351,0.0004288182,0.00001233204,0.00001547064,0.02685215],"genre_scores_gemma":[0.9941003,0.00001172746,0.00004287758,0.0002122248,0.0001631878,0.0000494166,0.0000696331,0.00000240771,0.005348182],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5252862,"threshold_uncertainty_score":0.5805887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03325113261284116,"score_gpt":0.3794539458636542,"score_spread":0.346202813250813,"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."}}