{"id":"W2471072488","doi":"10.15517/rac.v40i1.25336","title":"Application of GPS and GIS to study foraging behavior of dairy cattle","year":2016,"lang":"es","type":"article","venue":"Agronomía Costarricense","topic":"Animal Behavior and Welfare Studies","field":"Veterinary","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kellogg's (Canada)","funders":"Universidad del Tolima","keywords":"Grazing; Global Positioning System; Geography; Humanities; Animal science; Forestry; Biology; Art; Ecology; Computer science; Telecommunications","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":[0.0006671399,0.000438353,0.0003605124,0.001915766,0.0002255314,0.0005424905,0.0003347378,0.0003974033,0.0006369274],"category_scores_gemma":[0.001285462,0.0003419653,0.0003297724,0.001816974,0.0001898414,0.0004723152,0.0005513994,0.0002222563,0.0001746717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005005894,"about_ca_system_score_gemma":0.000668681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01669003,"about_ca_topic_score_gemma":0.02737452,"domain_scores_codex":[0.9993631,0.0002567363,0.000034268,0.0001168766,0.0001853788,0.00004356676],"domain_scores_gemma":[0.9991654,0.0003386091,0.0001421832,0.00006692601,0.0002108747,0.00007601205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001038265,0.0002678179,0.7130756,0.0003310721,0.0004098553,0.0003149801,0.001326272,0.02432257,0.04080676,0.0004474238,0.0007455715,0.2169139],"study_design_scores_gemma":[0.0001083547,0.001878585,0.7901992,0.00009441772,0.000373028,0.000891288,0.002703741,0.1836864,0.01178139,0.0008294426,0.007378915,0.00007526238],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9800707,0.0006189754,0.0154372,0.0001189921,0.00002292822,0.000095328,0.0009845925,0.0002031883,0.002448276],"genre_scores_gemma":[0.9425127,0.0004630921,0.05464318,0.00003845817,0.00002614449,0.0001173087,0.0009531503,0.00001692499,0.001228964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01669003,"threshold_uncertainty_score":0.03318572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0288329562779833,"score_gpt":0.3130584907580325,"score_spread":0.2842255344800493,"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."}}