{"id":"W2161511800","doi":"10.1111/j.2006.0030-1299.14443.x","title":"Does tiger shark predation risk influence foraging habitat use by bottlenose dolphins at multiple spatial scales?","year":2006,"lang":"en","type":"article","venue":"Oikos","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":195,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Simon Fraser University","keywords":"Predation; Foraging; Habitat; Bottlenose dolphin; Abundance (ecology); Apex predator; Ecology; Spatial ecology; Fishery; Biology; Predator; Bay; Geography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0003361755,0.000133833,0.0002227154,0.000311698,0.0001485985,0.0004803959,0.0001590006,0.0003163202,0.0008168206],"category_scores_gemma":[0.001006876,0.0001883219,0.0002088855,0.0002292626,0.0004133634,0.0003269484,0.0002888878,0.0001651968,0.0001401242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002513627,"about_ca_system_score_gemma":0.0001979389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0165229,"about_ca_topic_score_gemma":0.04429865,"domain_scores_codex":[0.9998376,0.00006162917,0.000009124758,0.00002976564,0.0000215575,0.00004024918],"domain_scores_gemma":[0.9993563,0.0001861475,0.0002421289,0.0000407135,0.00006099598,0.0001136976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007139727,0.00003358311,0.9910622,0.00002117095,0.00007969219,0.00007818979,0.0003087878,0.000227533,0.00238231,0.00003618289,0.000109965,0.005588956],"study_design_scores_gemma":[7.702226e-7,0.00002440142,0.9995686,0.000001887354,0.000008933464,0.00001386471,0.0001468931,0.0001476402,0.00002812956,0.00001925814,0.0000385192,0.000001056723],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994643,0.0001471158,0.00003950961,0.00005014467,0.000001520193,8.988955e-7,0.00001719764,0.00000101147,0.000278203],"genre_scores_gemma":[0.9996144,0.0001565355,0.0000597349,0.00002446709,0.000004590378,0.000001279716,0.00002040239,8.001215e-7,0.0001178507],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0165229,"threshold_uncertainty_score":0.03285342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007123123058816162,"score_gpt":0.2091898233194913,"score_spread":0.2020667002606751,"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."}}