{"id":"W2793184236","doi":"10.1126/sciadv.aaq0579","title":"Bats without borders: Predators learn novel prey cues from other predatory species","year":2018,"lang":"en","type":"article","venue":"Science Advances","topic":"Bat Biology and Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Smithsonian Tropical Research Institute; Human Frontier Science Program; Smithsonian Institution","keywords":"Predation; Sympatric speciation; Social facilitation; Foraging; Biology; Ecology; Social learning; Mating; Facilitation; Communication; Cognitive psychology; Computer science; Psychology","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":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003940356,0.0001852303,0.0002140675,0.00002314791,0.001113596,0.00007171393,0.0007223688,0.0001029813,0.0009505288],"category_scores_gemma":[0.0002424321,0.00007117871,0.00004786005,0.0005003876,0.004201064,0.0009247735,0.0002273838,0.0001251946,0.000220699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002663886,"about_ca_system_score_gemma":0.00003257184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001579107,"about_ca_topic_score_gemma":0.00978502,"domain_scores_codex":[0.9983243,0.00003919689,0.0001922261,0.0006608174,0.0002430983,0.0005403556],"domain_scores_gemma":[0.9993528,0.0001639446,0.0001193279,0.0001159351,0.0001491954,0.00009885085],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004179192,0.00009086587,0.5984054,0.000002303159,0.00002019648,5.536408e-7,0.0004770334,0.000001773375,0.3821684,0.0002893409,0.0005345303,0.01796774],"study_design_scores_gemma":[0.0001295093,0.0003684279,0.6651946,0.00001907191,0.000009713236,0.000001790596,0.002027085,0.00001580716,0.04660349,0.001191533,0.2841771,0.0002618617],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889925,0.0009592665,0.00001448351,0.0008078999,0.0008294263,0.0001621885,0.00009314788,0.0001245158,0.008016576],"genre_scores_gemma":[0.995988,0.00008615598,0.0006023604,0.0006956644,0.0006675108,0.00001985705,0.000008038955,0.000001162227,0.001931255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3355649,"threshold_uncertainty_score":0.9999627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02741390265195321,"score_gpt":0.2718911383968988,"score_spread":0.2444772357449456,"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."}}