{"id":"W4236681869","doi":"10.2458/azu_jrm_v57i4_henderson","title":"Grazing and soil carbon along a gradient of Alberta rangelands","year":2004,"lang":"en","type":"article","venue":"Journal of Range Management","topic":"Rangeland and Wildlife Management","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Agriculture and Agri-Food Canada","funders":"","keywords":"Grazing; Environmental science; Soil carbon; Rangeland; Vegetation (pathology); Litter; Organic matter; Soil organic matter; Total organic carbon; Agronomy; Ecology; Soil water; Soil science; Agroforestry; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001987832,0.000115282,0.0001468555,0.0004460374,0.0004458278,0.0005379854,0.0002176177,0.0001688421,0.0005263436],"category_scores_gemma":[0.0005674371,0.0001157176,0.00009743348,0.0006034243,0.0005450701,0.0001053756,0.0002778558,0.0001287483,0.00005623777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002708162,"about_ca_system_score_gemma":0.001391167,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7342967,"about_ca_topic_score_gemma":0.92225,"domain_scores_codex":[0.9998239,0.00002526162,0.000005839252,0.00003529326,0.00004987987,0.00005995387],"domain_scores_gemma":[0.9996281,0.00004865853,0.00009076491,0.0000152271,0.0001037317,0.0001135617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001539584,0.00002175212,0.9927493,0.000008948744,0.00003813354,0.0001228831,0.0003715354,0.0002537972,0.003974698,0.00003854569,0.0001005896,0.002165858],"study_design_scores_gemma":[7.920909e-7,0.000006002649,0.999756,8.079169e-7,0.000002121537,0.00001076477,0.0001055463,0.00004311838,0.00002547245,0.000003534144,0.00004514761,6.289076e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997153,0.00004524698,0.00001042046,0.00000820649,4.378228e-7,7.71548e-7,0.00003976789,0.000001147743,0.0001786214],"genre_scores_gemma":[0.9996481,0.00004025453,0.00003331004,0.000008479286,6.599523e-7,0.00000115094,0.0000998475,6.206451e-7,0.0001675319],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2657033,"threshold_uncertainty_score":0.5345361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005689549255696257,"score_gpt":0.1928161516051371,"score_spread":0.1871266023494408,"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."}}