{"id":"W4407135404","doi":"10.29166/siembra.v12i1.7017","title":"Assessment of scenarios for intensifying pasture management and grazing in fragile micro-watersheds of high Andean mountains","year":2025,"lang":"en","type":"article","venue":"Siembra","topic":"Rangeland Management and Livestock Ecology","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Universidad Central del Ecuador","keywords":"Pasture; Grazing; Environmental science; Geography; Agroforestry; Forestry; Hydrology (agriculture); Ecology; Geology; Biology; Geotechnical engineering","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":[0.001084461,0.0004556906,0.0003058145,0.0003096144,0.0003495456,0.0009339658,0.0006193166,0.0004470522,0.0009640041],"category_scores_gemma":[0.001498571,0.0001084009,0.000345709,0.0003020657,0.0002973027,0.0004391195,0.0004876112,0.0002458603,0.00004227933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002041336,"about_ca_system_score_gemma":0.0006721471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0133552,"about_ca_topic_score_gemma":0.02027868,"domain_scores_codex":[0.9995072,0.0002614014,0.00002275221,0.0000481888,0.00004742682,0.0001130052],"domain_scores_gemma":[0.9994119,0.0001978582,0.0001463517,0.00002790947,0.00009165924,0.0001243736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004973045,0.003384253,0.4888149,0.0006281127,0.0009064337,0.004612923,0.0009353069,0.4103118,0.03191588,0.002894925,0.001040123,0.04958231],"study_design_scores_gemma":[0.0006822654,0.008070908,0.7388074,0.0001058543,0.0006159032,0.0002628303,0.00678591,0.2333854,0.007045158,0.001218961,0.002943148,0.00007625657],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991942,0.00003217356,0.0001764354,0.00003476148,0.000001931874,0.00002808472,0.00006268033,0.000005257853,0.0004645348],"genre_scores_gemma":[0.9993247,0.00004064261,0.0004030798,0.0000126237,0.000001440329,0.00004091773,0.0000687536,0.000001044906,0.0001068583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0133552,"threshold_uncertainty_score":0.02655494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005511304138450804,"score_gpt":0.2415856685725153,"score_spread":0.2360743644340645,"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."}}