{"id":"W4380201176","doi":"10.1139/cjz-2023-0023","title":"Predator–prey interactions between gleaning bats and katydids","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Zoology","topic":"Bat Biology and Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada; McMaster University","keywords":"Human echolocation; Biology; Predation; Predator; Ecology; Insectivore; Predator avoidance; Orthoptera; Aposematism; Prey detection; Zoology; Neuroscience","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0003290385,0.0001652122,0.000332715,0.0003794983,0.000870944,0.0004268487,0.0002883699,0.000386899,0.001758102],"category_scores_gemma":[0.0005016503,0.0001575791,0.0001580273,0.0002730278,0.0007125095,0.0004307203,0.0008014338,0.0003451408,0.0001233246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001015939,"about_ca_system_score_gemma":0.0006194568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05219167,"about_ca_topic_score_gemma":0.1526519,"domain_scores_codex":[0.9998612,0.00003499474,0.000009767919,0.00002470024,0.00003412032,0.00003523468],"domain_scores_gemma":[0.9998211,0.00005449828,0.00004091901,0.000004694957,0.00003160227,0.00004729454],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00087859,0.000189547,0.7034495,0.002886799,0.0006974541,0.00518296,0.0283646,0.0008623269,0.111283,0.008818521,0.004747889,0.1326388],"study_design_scores_gemma":[0.000006313878,0.000129918,0.9828105,0.0001449933,0.00005767118,0.0007269951,0.007713187,0.0002363432,0.0006324171,0.0006922991,0.006830652,0.00001867829],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9814047,0.0129142,0.0002114925,0.0008317031,0.00003277155,0.00001192329,0.00004973146,0.000006643971,0.0045367],"genre_scores_gemma":[0.987081,0.00900237,0.0007020841,0.0003747374,0.00002072266,0.00001365736,0.00007110435,0.000002628568,0.002731744],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05219167,"threshold_uncertainty_score":0.1037758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03538384581120497,"score_gpt":0.2369106236436514,"score_spread":0.2015267778324465,"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."}}