{"id":"W2414373254","doi":"10.1038/srep21500","title":"Sonar sound groups and increased terminal buzz duration reflect task complexity in hunting bats","year":2016,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Bat Biology and Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Oticon Fonden","keywords":"Marketing buzz; Sound (geography); Sonar; Duration (music); Human echolocation; Task (project management); Terminal (telecommunication); Biology; Geography; Computer science; Speech recognition; Oceanography; Neuroscience; Telecommunications; Geology; Acoustics; Artificial intelligence; World Wide Web; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003145864,0.000272853,0.000309724,0.0005907678,0.0001768016,0.0005818148,0.0001721832,0.0005252123,0.001501969],"category_scores_gemma":[0.001824062,0.0003100809,0.0001454094,0.0001864651,0.0004565263,0.0003427624,0.0004166962,0.0004198796,0.0002063829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001404961,"about_ca_system_score_gemma":0.00008177142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005792475,"about_ca_topic_score_gemma":0.001238727,"domain_scores_codex":[0.999803,0.00002879877,0.00002207215,0.00006933051,0.00004796846,0.0000289447],"domain_scores_gemma":[0.998064,0.0005316089,0.0008729322,0.0001096418,0.00009191824,0.0003298607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001051362,0.0002634102,0.545388,0.0001087251,0.0001194372,0.0003356414,0.001206666,0.0003081271,0.4405175,0.00007003667,0.000123765,0.01050736],"study_design_scores_gemma":[0.000001999182,0.0001115371,0.9988636,0.0000017275,0.000004883092,0.0001010493,0.0000650732,0.0001052598,0.0006911334,0.00002668152,0.00002453513,0.000002662698],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995582,0.00005122116,0.0001837005,0.000006949936,0.000001304907,0.000004298461,0.0000192394,0.000004198278,0.0001710275],"genre_scores_gemma":[0.9992224,0.0000417173,0.0004161183,0.00001910014,0.000006534702,0.0000186656,0.0000791866,0.000004742853,0.0001914897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001501969,"threshold_uncertainty_score":0.005024612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04755524254188358,"score_gpt":0.2582989804421734,"score_spread":0.2107437379002898,"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."}}