{"id":"W4396665823","doi":"10.1016/j.cub.2024.03.055","title":"Active sensing: Eavesdropping on your neighbor to locate prey","year":2024,"lang":"en","type":"article","venue":"Current Biology","topic":"Fish biology, ecology, and behavior","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Eavesdropping; Electric organ; Foraging; Electric fish; Marine mammals and sonar; Predation; Sonar; Electric field; Electroreception; Acoustics; Range (aeronautics); Fish <Actinopterygii>; Computer science; Fishery; Ecology; Biology; Physics; Engineering; Computer security; Aerospace engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003232774,0.0004963552,0.0002447018,0.0002368547,0.0006848965,0.0009542478,0.0006478704,0.001038025,0.006628526],"category_scores_gemma":[0.002125453,0.0002745303,0.0003342808,0.0001486569,0.0005681236,0.001442772,0.001045,0.001126184,0.00161285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001496131,"about_ca_system_score_gemma":0.0002573514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000741766,"about_ca_topic_score_gemma":0.001450665,"domain_scores_codex":[0.99978,0.00004592082,0.000005995887,0.0000569313,0.0000610701,0.00005014132],"domain_scores_gemma":[0.9988573,0.0004290524,0.0001811861,0.0002202222,0.000123072,0.0001890668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0006471568,0.0005506956,0.06405628,0.0003294516,0.0002897479,0.002765524,0.003488412,0.005505709,0.6767477,0.03569457,0.02000888,0.1899159],"study_design_scores_gemma":[0.000158999,0.002793683,0.23369,0.0005049505,0.001052338,0.01192553,0.009006255,0.1860062,0.379109,0.1052109,0.07009014,0.0004520679],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7777506,0.0007036835,0.1082047,0.00273896,0.0007865897,0.0000852091,0.0002763014,0.0006346053,0.1088194],"genre_scores_gemma":[0.977892,0.0002111245,0.01064569,0.0007555218,0.0001240518,0.0000216794,0.00009869799,0.00006341968,0.01018787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006628526,"threshold_uncertainty_score":0.0221746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06744634301696102,"score_gpt":0.3287765912427389,"score_spread":0.2613302482257779,"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."}}