{"id":"W2606052954","doi":"10.1038/srep46332","title":"Windscapes and olfactory foraging in a large carnivore","year":2017,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Alberta Environment and Protected Areas; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Churchill Northern Studies Centre; University of Alberta; Environment and Climate Change Canada; Canadian Wildlife Federation; World Wildlife Fund; Parks Canada; ArcticNet; Quark Expeditions","keywords":"Carnivore; Foraging; Olfactory system; Biology; Zoology; Computer science; Neuroscience; Ecology; Predation","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":[0.0003436139,0.000175569,0.0001304526,0.0004338126,0.0002406697,0.0003690349,0.0001352769,0.0001874196,0.0008052614],"category_scores_gemma":[0.001050584,0.0001257039,0.0001986352,0.0002844778,0.000334453,0.000268502,0.0003034674,0.0001142334,0.00008407818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003240019,"about_ca_system_score_gemma":0.0002122016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02895644,"about_ca_topic_score_gemma":0.09190547,"domain_scores_codex":[0.9999415,0.00001675798,0.000004836633,0.00001500771,0.0000089583,0.00001294388],"domain_scores_gemma":[0.9994362,0.0001484768,0.0002479785,0.00003165887,0.00003434179,0.0001013464],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007678586,0.00001370021,0.9940754,0.00001182153,0.00005457898,0.00006425133,0.0001527241,0.0009799009,0.002498467,0.00008154751,0.00003992139,0.001950879],"study_design_scores_gemma":[7.618908e-7,0.00002165371,0.9985257,0.000004094239,0.000006506629,0.00004593473,0.0001541478,0.001070037,0.00006181064,0.0000547331,0.00005201013,0.000002680904],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997227,0.00003745857,0.00008703285,0.000005380673,4.047461e-7,8.493885e-7,0.00003441912,0.000001088267,0.0001107725],"genre_scores_gemma":[0.9995872,0.00003483969,0.000211551,0.000003800383,8.539709e-7,0.000001566004,0.00007240622,0.000001486863,0.00008628632],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02895644,"threshold_uncertainty_score":0.05757582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01448756971914189,"score_gpt":0.2303106697308278,"score_spread":0.2158231000116859,"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."}}