{"id":"W2140487546","doi":"10.7554/elife.07404","title":"Acoustic shadows help gleaning bats find prey, but may be defeated by prey acoustic camouflage on rough surfaces","year":2015,"lang":"en","type":"article","venue":"eLife","topic":"Bat Biology and Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Camouflage; Predation; Acoustic shadow; Shadow (psychology); Perception; Acoustics; Salient; Computer science; Biology; Computer vision; Artificial intelligence; Ecology; Psychology; Physics; Neuroscience; Ultrasound","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002308452,0.0002564271,0.0002133297,0.0002510293,0.0003246097,0.0006091999,0.0002104606,0.0005748336,0.003878103],"category_scores_gemma":[0.0008517019,0.0002425324,0.0001767627,0.0001108949,0.000669718,0.0005704736,0.0007520138,0.0004144121,0.000645227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001740058,"about_ca_system_score_gemma":0.0001656912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004894842,"about_ca_topic_score_gemma":0.001027622,"domain_scores_codex":[0.9998912,0.00001461039,0.000005306207,0.00002133761,0.00004145245,0.00002602939],"domain_scores_gemma":[0.9995286,0.0001509311,0.0001326941,0.00005503909,0.00005608525,0.00007653702],"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":[0.000217052,0.00004460587,0.03003008,0.0001791722,0.00003832592,0.0005462368,0.0008199368,0.0007381138,0.9287005,0.000785118,0.0003128886,0.03758793],"study_design_scores_gemma":[0.00003390836,0.0009760359,0.8197662,0.00008893903,0.00007152363,0.002305185,0.00353365,0.005016523,0.1563544,0.004082634,0.0077196,0.00005142646],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931878,0.0004165182,0.003080317,0.0001100401,0.00002063753,0.000006485636,0.00002055001,0.00005502905,0.003102723],"genre_scores_gemma":[0.9963812,0.0001519768,0.002069777,0.00005759751,0.000009887031,0.000004511963,0.00002890297,0.00001386042,0.00128236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003878103,"threshold_uncertainty_score":0.01297361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04323168605729824,"score_gpt":0.2453575356451474,"score_spread":0.2021258495878492,"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."}}