{"id":"W2800923983","doi":"10.2458/azu_rangelands_v58i1_scrosati","title":"Mauto (Lysiloma divaricatum, Fabaceae) Allometry as an Indicator of Cattle Grazing Pressure in a Tropical Dry Forest in Northwestern Mexico","year":2005,"lang":"en","type":"article","venue":"Journal of Range Management","topic":"Agroforestry and silvopastoral systems","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Francis Xavier University","funders":"Centro de Investigaciones Biológicas del Noroeste; Consejo Nacional de Ciencia y Tecnología","keywords":"Grazing; Allometry; Canopy; Basal area; Fabaceae; Grazing pressure; Biology; Tropical and subtropical dry broadleaf forests; Tropics; Agronomy; Forestry; Ecology; Geography","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":[0.0002199102,0.0001764675,0.0002153026,0.0008102946,0.0004340488,0.000309149,0.0001685494,0.0001591635,0.0003600652],"category_scores_gemma":[0.0003070918,0.000103573,0.00009932288,0.0004559566,0.000236504,0.0001418827,0.0002337675,0.0001686354,0.00004845508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005916029,"about_ca_system_score_gemma":0.0001219134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02891719,"about_ca_topic_score_gemma":0.06495329,"domain_scores_codex":[0.9999088,0.00001854173,0.000004805671,0.00003006488,0.00001292497,0.00002490489],"domain_scores_gemma":[0.9997419,0.00003736054,0.0001322133,0.00001461492,0.00002467305,0.00004933661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002695308,0.00007744416,0.9784289,0.00001276313,0.00003395795,0.00009775725,0.0005138345,0.00007129634,0.01664037,0.00001981785,0.00005641269,0.003777982],"study_design_scores_gemma":[0.000001761687,0.00001953091,0.9997151,8.1151e-7,0.00000348836,0.00002596856,0.00008642847,0.00004932283,0.00005948861,0.000002168247,0.00003528148,6.23798e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998785,0.00002542086,0.00001893348,0.000003200782,2.72026e-7,9.1441e-7,0.00002449711,9.869607e-7,0.00004728355],"genre_scores_gemma":[0.9997036,0.00003071579,0.00008735232,0.000005489948,0.000001265818,0.000002939796,0.000109701,7.754242e-7,0.00005810291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02891719,"threshold_uncertainty_score":0.05749774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01230145983823153,"score_gpt":0.2319012950162734,"score_spread":0.2195998351780419,"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."}}