{"id":"W4404603611","doi":"10.1186/s40317-024-00389-8","title":"Virtual fencing in remote boreal forests: performance of commercially available GPS collars for free-ranging cattle","year":2024,"lang":"en","type":"article","venue":"Animal Biotelemetry","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Høgskolen i Innlandet; Norges Forskningsråd","keywords":"Fencing; Global Positioning System; Ranging; Taiga; Remote sensing; Biology; Ecology; Geography; Engineering; Computer science; Telecommunications; Geodesy","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":[0.0008554681,0.0005068446,0.0003681082,0.0004752736,0.0004189538,0.000512477,0.0006574503,0.0004507276,0.001179017],"category_scores_gemma":[0.002950114,0.0001778375,0.0002660344,0.0003841375,0.0004765752,0.0005098082,0.0004288832,0.0002157422,0.0002279996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002853326,"about_ca_system_score_gemma":0.0002017684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005500868,"about_ca_topic_score_gemma":0.01376294,"domain_scores_codex":[0.9991105,0.0002467834,0.00006602733,0.0002161866,0.0002480451,0.0001124263],"domain_scores_gemma":[0.9970215,0.001126177,0.0008160661,0.00025172,0.0004725353,0.0003120046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002980019,0.0009185048,0.7369518,0.0005022194,0.0002204781,0.0006422864,0.002886476,0.003519384,0.1918846,0.00007764558,0.0002716507,0.05914494],"study_design_scores_gemma":[0.00003085068,0.008840414,0.9628025,0.00004753932,0.0001182281,0.0006132157,0.002121293,0.002784788,0.02176493,0.00004894652,0.0007925935,0.00003477454],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996371,0.00003068839,0.0001504961,0.000003236715,0.000001745347,0.000003798801,0.0000292745,0.000003395624,0.0001401598],"genre_scores_gemma":[0.9990577,0.00002175002,0.0006850191,0.000007705757,0.000002017922,0.000006538343,0.00007365198,0.000003009685,0.0001426841],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005500868,"threshold_uncertainty_score":0.01093769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01285742016533058,"score_gpt":0.2335130222117076,"score_spread":0.220655602046377,"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."}}