{"id":"W3088901625","doi":"10.1111/eth.13092","title":"Eavesdropping of an African ground squirrel on the heterospecific alarm calls of a noisy ground‐nesting bird","year":2020,"lang":"en","type":"article","venue":"Ethology","topic":"Animal Vocal Communication and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Vigilance (psychology); Alarm signal; ALARM; Ground squirrel; Eavesdropping; Foraging; Predation; Ecology; Predator; Biology; Geography; Zoology; Computer security; Squirrel monkey; Computer science; Engineering","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":[0.0002370633,0.0001098791,0.0001855517,0.00002134865,0.00006667993,0.000007827708,0.0003962379,0.0001269679,0.00002867629],"category_scores_gemma":[0.0001678202,0.00008471082,0.00008026569,0.0001055287,0.0002955445,0.000002573966,0.0001735145,0.0001674555,0.00000916175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006339128,"about_ca_system_score_gemma":0.00002492642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000596608,"about_ca_topic_score_gemma":0.00003071516,"domain_scores_codex":[0.9990144,0.0002463695,0.0002630561,0.0002349781,0.00009273911,0.0001483917],"domain_scores_gemma":[0.9992015,0.00006684953,0.0001632877,0.0004324612,0.0000747418,0.00006117682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001241553,0.0001032082,0.001957072,0.0000127864,0.00001466907,0.000003430677,0.0005888137,0.00001535118,0.9946823,0.001092312,0.0000640033,0.001341918],"study_design_scores_gemma":[0.002015307,0.01091342,0.3597366,0.00008001013,0.0001328863,0.00009703357,0.006023637,0.0005887013,0.59555,0.0004182056,0.02355499,0.0008892471],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965534,0.0001116809,0.0004240804,0.001526655,0.00004222476,0.0001164452,0.000008130306,0.00001672807,0.001200655],"genre_scores_gemma":[0.9978152,0.00001957649,0.0009549104,0.001031507,0.00007841197,0.00000936701,0.00001485458,0.00002119956,0.00005498434],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3991323,"threshold_uncertainty_score":0.3454407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09743170824418845,"score_gpt":0.3168440979488751,"score_spread":0.2194123897046867,"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."}}