{"id":"W2922801569","doi":"10.1139/cjz-2018-0203","title":"Food caching by a marine apex predator, the leopard seal (<i>Hydrurga leptonyx</i>)","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Zoology","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; National Oceanic and Atmospheric Administration; Panthera","keywords":"Biology; Leopard; Apex predator; Predator; Predation; Marine ecosystem; Foraging; Ecology; Habitat; Population; Dominance (genetics); Marine mammal; Ecosystem; Fishery; Zoology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002689155,0.0001371796,0.0001097723,0.0004938629,0.000573947,0.0002956201,0.0001271823,0.0001905755,0.0007434917],"category_scores_gemma":[0.000270044,0.00008155221,0.0001199192,0.0003085307,0.0003505572,0.0002351748,0.0002966512,0.0001598706,0.0001438585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005113017,"about_ca_system_score_gemma":0.0004936626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06047139,"about_ca_topic_score_gemma":0.1953778,"domain_scores_codex":[0.9999142,0.00001203972,0.000006025177,0.0000196312,0.00002036053,0.00002773154],"domain_scores_gemma":[0.9997537,0.00003773971,0.00009379838,0.00001424996,0.00005475763,0.00004580296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001660207,0.00005341053,0.9058411,0.0002220376,0.00005798531,0.001070406,0.001562948,0.0001263734,0.04254526,0.0002926372,0.001752093,0.04630974],"study_design_scores_gemma":[0.000001181519,0.0001540056,0.9944167,0.00002316956,0.00002143956,0.0005761512,0.0007915174,0.00005172493,0.00113438,0.00003262185,0.002790524,0.000006558138],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951634,0.001828908,0.0001111957,0.0001364129,0.00000861437,0.000007718036,0.0001147948,0.000008337152,0.002620533],"genre_scores_gemma":[0.9948629,0.002605895,0.000589983,0.0001146275,0.00001859844,0.000005007598,0.0002497133,0.000003398135,0.001549972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06047139,"threshold_uncertainty_score":0.1202388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007928097505324772,"score_gpt":0.1904393234195511,"score_spread":0.1825112259142263,"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."}}