{"id":"W2113860245","doi":"10.4141/cjas-2014-116","title":"Comparing grazing and resting electivity of beef cattle for BC bunchgrass communities using GPS collars","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Animal Science","topic":"Rangeland and Wildlife Management","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Forests; Thompson Rivers University; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Grazing; Tussock; Grassland; Habitat; Geography; Plant community; Forb; Riparian zone; Cattle grazing; Environmental science; Ecology; Biology; Species richness","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0006092785,0.0002569932,0.0002702938,0.001036983,0.0008157829,0.0005452452,0.0004547243,0.0002771409,0.0009150652],"category_scores_gemma":[0.001472096,0.0002523811,0.0002557159,0.001303443,0.0002637086,0.0002573289,0.0005358793,0.0002435394,0.0002113801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001597191,"about_ca_system_score_gemma":0.000532154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.355505,"about_ca_topic_score_gemma":0.6742991,"domain_scores_codex":[0.9995689,0.0001104464,0.00002846652,0.00009201067,0.0001034872,0.00009672429],"domain_scores_gemma":[0.998867,0.0001810295,0.000310644,0.00006831386,0.0003412704,0.0002316779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002657378,0.00003523869,0.9917417,0.0000147543,0.00007993916,0.00002104359,0.0005629521,0.00008595577,0.002287649,0.000009336823,0.0001227724,0.004773012],"study_design_scores_gemma":[0.00000155965,0.00002730803,0.9995679,0.000001918966,0.000006576537,0.000008519701,0.0001751163,0.0001123566,0.00004609323,0.000002042125,0.0000491403,0.000001420974],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994425,0.00004155692,0.000058287,0.000004742192,9.337591e-7,0.000005148022,0.00024497,0.000001622328,0.0002002856],"genre_scores_gemma":[0.9981358,0.00006345916,0.0003257736,0.0000111664,0.000001766263,0.0000160583,0.001064605,0.000002686669,0.0003786235],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.355505,"threshold_uncertainty_score":0.7068714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07988483340066851,"score_gpt":0.271479377289164,"score_spread":0.1915945438884955,"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."}}