{"id":"W4415147222","doi":"10.1093/beheco/araf105","title":"Does rainfall or temperature influence antipredator vigilance in a hibernating mammal?","year":2025,"lang":"en","type":"article","venue":"Behavioral Ecology","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"National Science Foundation of Sri Lanka; Department of Business and Innovation, Victoria State Government; American Society of Mammalogists; University of Ottawa; National Geographic Society; University of California, Los Angeles; National Science Foundation","keywords":"Vigilance (psychology); Foraging; Snowmelt; Predation; Snow; Population","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":[0.0003943429,0.0001413431,0.0002761505,0.0002791098,0.000244864,0.0004815175,0.0001774664,0.0002799496,0.001486729],"category_scores_gemma":[0.001668781,0.0001126639,0.0001756079,0.0002632677,0.0003008039,0.0002680961,0.0001903712,0.0002545692,0.000120212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001524899,"about_ca_system_score_gemma":0.0000969618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002056911,"about_ca_topic_score_gemma":0.004115365,"domain_scores_codex":[0.9997922,0.00009644899,0.00001310212,0.000043608,0.00001802863,0.00003664375],"domain_scores_gemma":[0.9989826,0.0003684194,0.0003814394,0.00004919741,0.0000674261,0.0001508506],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003225286,0.00007449165,0.9847071,0.00002444164,0.0001672262,0.0001174478,0.0002287068,0.0002229082,0.01049079,0.00004201508,0.0001218825,0.003480607],"study_design_scores_gemma":[0.000001019398,0.00004379745,0.9993617,0.000002109361,0.00001443045,0.00003701498,0.00008211975,0.0002482265,0.0001263661,0.00002836578,0.00005344526,0.000001433462],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994279,0.0001317154,0.00006844066,0.00004288122,0.00000422273,0.000001205332,0.00004757471,0.000003419292,0.0002726594],"genre_scores_gemma":[0.9998345,0.00002826007,0.00003439744,0.0000173464,0.00000647418,0.000001168081,0.00003111544,0.000001781391,0.00004494914],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002056911,"threshold_uncertainty_score":0.00497359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01456378457566207,"score_gpt":0.2959529720475181,"score_spread":0.281389187471856,"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."}}