{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005335757,0.00006680436,0.00006354957,0.00001680122,0.00036117,0.000008349341,0.0002048867,0.00009592759,0.0003770123],"category_scores_gemma":[0.00006996337,0.0000357124,0.00002777337,0.0001125298,0.0003022223,0.00005406743,0.00005407808,0.0001591681,0.0001651036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006902044,"about_ca_system_score_gemma":0.000006007183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008241036,"about_ca_topic_score_gemma":0.01402454,"domain_scores_codex":[0.9992639,0.0002023519,0.00009725306,0.0001695275,0.00003232243,0.0002345999],"domain_scores_gemma":[0.9996742,0.0001416846,0.00004387323,0.0001218192,0.000003947994,0.00001449839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006655363,0.00002234561,0.9922329,7.894968e-7,0.000002639942,3.041343e-7,0.0007204511,0.000005026781,0.006052087,0.0001144608,0.0001414489,0.0007009501],"study_design_scores_gemma":[0.0001216173,0.0001605937,0.986305,0.000001596641,0.00001596314,0.00002295657,0.00006007665,0.0001094158,0.001182586,0.000638306,0.01132132,0.00006055502],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976555,0.00001919781,0.0007084147,0.0009065687,0.0001756813,0.000247867,0.000005374267,0.00001147015,0.0002699607],"genre_scores_gemma":[0.9987558,0.000001457555,0.0001521492,0.0008205394,0.0001191448,0.00003844101,0.000009003743,0.00000454215,0.00009891824],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01320044,"threshold_uncertainty_score":0.7826023,"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."}}