{"id":"W2072203476","doi":"10.1371/journal.pone.0049719","title":"A New Way of Assessing Foraging Behaviour at the Individual Level Using Faeces Marking and Satellite Telemetry","year":2012,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski; Ministry of Natural Resources and Wildlife; Ministère des Forêts, de la Faune et des Parcs; Government of Nunavut; Université Laval; Natural Sciences and Engineering Research Council","funders":"Natural Sciences and Engineering Research Council of Canada; Norges Forskningsråd","keywords":"Foraging; Ecology; Predation; Population; Biology; Odocoileus; Range (aeronautics); Demography; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001390574,0.000770744,0.000662567,0.00281436,0.0003950359,0.0008497111,0.0008391804,0.001108588,0.001358133],"category_scores_gemma":[0.002492532,0.0005717044,0.0007059355,0.002211321,0.0007177441,0.001687909,0.001156367,0.0008869966,0.0004589914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002940488,"about_ca_system_score_gemma":0.0004490628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002142097,"about_ca_topic_score_gemma":0.007213079,"domain_scores_codex":[0.9979482,0.000668993,0.0001731808,0.0007276131,0.0004033946,0.00007851951],"domain_scores_gemma":[0.996182,0.0008077943,0.00141389,0.0008366334,0.0005849472,0.0001745893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004652215,0.0003813874,0.352939,0.001041154,0.0007831915,0.0003148641,0.00162353,0.002645024,0.4247774,0.001663313,0.0009986854,0.2123671],"study_design_scores_gemma":[0.00008418638,0.003019611,0.8729157,0.0002914729,0.0008556462,0.004175465,0.001324394,0.02905474,0.06920063,0.004258206,0.01444566,0.000374336],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5787849,0.002247622,0.4088847,0.0002903246,0.0002570949,0.0005528881,0.002394163,0.0005737012,0.006014697],"genre_scores_gemma":[0.5327529,0.0009538404,0.4614661,0.0002793841,0.0001765368,0.0006646045,0.0008955932,0.00008498261,0.002726072],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00281436,"threshold_uncertainty_score":0.00735414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1323940065511159,"score_gpt":0.2636988472161454,"score_spread":0.1313048406650296,"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."}}