{"id":"W2085188867","doi":"10.1111/j.1442-9993.2009.01958.x","title":"Ecohydrological effects of grazing‐induced degradation in the Patagonian Monte, Argentina","year":2009,"lang":"en","type":"article","venue":"Austral Ecology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Environmental science; Transpiration; Soil water; Soil retrogression and degradation; Ecosystem; Vegetation (pathology); Grazing; Alternative stable state; Dominance (genetics); Hydrology (agriculture); Agronomy; Ecology; Soil science; Biology; Geology","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":[0.0002675001,0.0002519221,0.000266741,0.0004259045,0.0003574764,0.0004779828,0.0002604585,0.0002936748,0.0007774527],"category_scores_gemma":[0.0005704695,0.0001061696,0.0002506189,0.0004759038,0.0003077988,0.0001642508,0.0002766082,0.000158878,0.00007971876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00147492,"about_ca_system_score_gemma":0.0004394366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.108981,"about_ca_topic_score_gemma":0.1171489,"domain_scores_codex":[0.9998097,0.00004302826,0.00001373025,0.00004492026,0.00003684905,0.0000518772],"domain_scores_gemma":[0.9996157,0.00006598031,0.0001409764,0.00002736563,0.00008644353,0.00006354754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008136544,0.0001821865,0.9602517,0.0001470666,0.0001713896,0.00133825,0.0003633282,0.009397005,0.01652124,0.000145377,0.0008232652,0.009845549],"study_design_scores_gemma":[0.00001186338,0.00005947892,0.9961674,0.000005209596,0.00001378395,0.00007007722,0.0001654851,0.002812462,0.0002576516,0.0000165405,0.0004157715,0.00000421448],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988886,0.00009526606,0.00005635243,0.00003036309,0.000003029675,0.000005340118,0.0003085343,0.00001089276,0.000601873],"genre_scores_gemma":[0.9995258,0.00005889501,0.00006054144,0.00000549942,0.000002586598,0.000004910476,0.000245071,0.000001866183,0.0000948427],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.108981,"threshold_uncertainty_score":0.2166933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009359416834323078,"score_gpt":0.2199018765401588,"score_spread":0.2105424597058357,"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."}}