{"id":"W2535481405","doi":"10.1002/wsb.700","title":"Wildlife monitoring with unmanned aerial vehicles: Quantifying distance to auditory detection","year":2016,"lang":"en","type":"article","venue":"Wildlife Society Bulletin","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Alberta","funders":"Alberta Conservation Association","keywords":"Wildlife; Quadcopter; Audiogram; Sound (geography); Drone; Sound propagation; Environmental science; Aerial survey; Absolute threshold of hearing; Ecology; Geography; Remote sensing; Biology; Audiology; Acoustics; Hearing loss; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004733328,0.0002732111,0.0002300453,0.00002119802,0.0005760754,0.00004586756,0.0003017943,0.0002057986,0.0006135789],"category_scores_gemma":[0.0001240851,0.0002081241,0.0001331423,0.0003013602,0.0003033185,0.0002149671,0.0001583765,0.0001968253,0.00205785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004473777,"about_ca_system_score_gemma":0.00003020601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001202942,"about_ca_topic_score_gemma":0.0000973458,"domain_scores_codex":[0.9979133,0.0001093376,0.0003168995,0.0006498879,0.0004487809,0.0005617766],"domain_scores_gemma":[0.9990195,0.0001918987,0.0001668374,0.0003749231,0.00002871489,0.0002181403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003384736,0.00009750044,0.80236,0.00001646505,0.0000599749,0.000007119249,0.0009289157,0.0003606974,0.01261448,0.00003175683,0.1772256,0.005959006],"study_design_scores_gemma":[0.001228107,0.0002425003,0.5866694,0.0001510417,0.00003147985,0.000008383451,0.0005329325,0.00005735797,0.001324072,0.00004388663,0.4091945,0.0005163402],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9618427,0.00001430346,0.01423361,0.02185472,0.001051031,0.0003753193,0.0000076237,0.0002287179,0.0003919509],"genre_scores_gemma":[0.988534,0.00003690246,0.003471248,0.005326817,0.001026754,0.0001318968,0.000002117739,0.00004414353,0.001426168],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2319688,"threshold_uncertainty_score":0.9987192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01390779965859844,"score_gpt":0.2233379713152514,"score_spread":0.209430171656653,"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."}}