{"id":"W4404254145","doi":"10.1111/oik.10879","title":"Linking proximate drivers and fitness returns of vigilance in a large ungulate","year":2024,"lang":"en","type":"article","venue":"Oikos","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Center for Northern Studies","funders":"Natural Sciences and Engineering Research Council of Canada; Université Laval; Université de Sherbrooke; Alberta Conservation Association","keywords":"Ungulate; Vigilance (psychology); Ecology; Biology; Geography; Zoology; Habitat","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":[0.0004652035,0.0001456351,0.0001860926,0.0004936748,0.0001952405,0.0003296335,0.0001817706,0.0003446184,0.0007606137],"category_scores_gemma":[0.001298743,0.0001393597,0.0002491555,0.0002907052,0.0002648646,0.0002423918,0.0003058836,0.0001852533,0.00006840799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001357522,"about_ca_system_score_gemma":0.00008556098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004453502,"about_ca_topic_score_gemma":0.009166274,"domain_scores_codex":[0.9998617,0.00004326934,0.00001252696,0.00005256874,0.00001156248,0.00001837914],"domain_scores_gemma":[0.9991528,0.0002651054,0.0003764906,0.00008461296,0.00004286103,0.00007807626],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008150059,0.00001778731,0.9966389,0.000005553574,0.00004833538,0.00008338998,0.0001540946,0.0001847818,0.001465855,0.00002137993,0.00001484338,0.001283589],"study_design_scores_gemma":[5.166543e-7,0.00002088976,0.9993912,0.000001204626,0.000007858323,0.00005172114,0.00003729092,0.0004431509,0.00001712526,0.00001380261,0.00001418943,0.000001063426],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998451,0.00003134989,0.00005202376,0.000005149173,2.56219e-7,4.872343e-7,0.00002300058,0.000001551058,0.0000411623],"genre_scores_gemma":[0.9998221,0.00001451386,0.00006673455,0.000002621531,0.000001533284,0.000001701035,0.00005624063,9.395207e-7,0.00003361017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004453502,"threshold_uncertainty_score":0.008855164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006382697708610886,"score_gpt":0.222488644482539,"score_spread":0.2161059467739281,"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."}}