{"id":"W2031349063","doi":"10.1002/wsb.130","title":"Application of a high‐resolution animal‐borne remote video camera with global positioning for wildlife study: Observations on the secret lives of woodland caribou","year":2012,"lang":"en","type":"article","venue":"Wildlife Society Bulletin","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Ministry of Natural Resources and Forestry; Canadian Forest Service","funders":"Canadian Forest Service","keywords":"Woodland caribou; Global Positioning System; Wildlife; Woodland; Geography; Remote sensing; Ecology; Computer science; Habitat; Biology; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0003401278,0.0002170215,0.0001440993,0.0008081183,0.0004602679,0.0003175863,0.0003547466,0.0002960071,0.001458787],"category_scores_gemma":[0.000526655,0.0001298877,0.0001278056,0.0004902301,0.0003003425,0.0002631427,0.0004503459,0.0002362173,0.0002462042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004325894,"about_ca_system_score_gemma":0.0008310074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08032198,"about_ca_topic_score_gemma":0.2505766,"domain_scores_codex":[0.999796,0.00004100368,0.000006982026,0.00004866281,0.00006925053,0.00003812513],"domain_scores_gemma":[0.9995882,0.00007711719,0.00005077757,0.00004047654,0.0001668962,0.00007655341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002787742,0.0003527943,0.382224,0.0003065783,0.0001050693,0.001632637,0.004473202,0.002269196,0.4600555,0.0002081505,0.002500222,0.1455939],"study_design_scores_gemma":[0.00002949653,0.0004959879,0.9641915,0.00004829753,0.00006639403,0.001013719,0.002698223,0.005846563,0.02126336,0.00005993129,0.004253214,0.00003320083],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897305,0.0001738295,0.006233279,0.00005426679,0.00001210853,0.0001430579,0.0006976954,0.00009723827,0.00285793],"genre_scores_gemma":[0.9724628,0.000150176,0.02548347,0.00008185754,0.00001514958,0.00006762686,0.0004667495,0.00001714808,0.001255022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08032198,"threshold_uncertainty_score":0.1597089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01382747508320701,"score_gpt":0.2290415911825865,"score_spread":0.2152141160993795,"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."}}