{"id":"W2808401912","doi":"10.1007/s00300-018-2358-6","title":"Picking the right cache: caching site selection for egg predators in the arctic","year":2018,"lang":"en","type":"article","venue":"Polar Biology","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; University of Ottawa; Université du Québec à Montréal; Université du Québec en Abitibi-Témiscamingue; Université de Moncton","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Excellence Research Chairs, Government of Canada; ArcticNet; Université de Moncton","keywords":"Tundra; Cache; Biology; Vulpes; Arctic; Predation; Arctic fox; Hoarding (animal behavior); Ecology; Habitat; Permafrost; Selection (genetic algorithm); Computer science; Foraging","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":[0.0005279522,0.0001951936,0.0002779411,0.0003522067,0.0008824428,0.000817341,0.0002859211,0.0006080382,0.00218396],"category_scores_gemma":[0.001483193,0.000275864,0.0001840009,0.0002364866,0.0004795911,0.000283486,0.0002569841,0.0002266173,0.000231238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004348868,"about_ca_system_score_gemma":0.0005403226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06081639,"about_ca_topic_score_gemma":0.1989342,"domain_scores_codex":[0.9998342,0.00004954217,0.000006301638,0.00004135359,0.00002087557,0.00004772014],"domain_scores_gemma":[0.999216,0.0002061634,0.0002063701,0.00007151937,0.00009450196,0.0002055044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001142091,0.000206338,0.9680724,0.00002916626,0.0001674011,0.0003670894,0.001637315,0.0009101785,0.01706048,0.0003357817,0.000583594,0.009488099],"study_design_scores_gemma":[0.000008621394,0.00009093271,0.9965211,0.000008060692,0.00003693998,0.0001829121,0.001603989,0.0008680205,0.0003450775,0.0001716353,0.0001548446,0.000007949303],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996929,0.000022509,0.00002869269,0.00001641121,0.000001921123,4.238827e-7,0.00001287681,9.715067e-7,0.0002233844],"genre_scores_gemma":[0.9995049,0.00003140684,0.0001038687,0.00001810883,0.000002619121,0.000001164473,0.00003169168,0.00000448681,0.0003016439],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06081639,"threshold_uncertainty_score":0.1209248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01132050961849811,"score_gpt":0.2662982101754087,"score_spread":0.2549777005569105,"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."}}