{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002007938,0.0002562492,0.0002078898,0.0007283578,0.0001438715,0.0003935789,0.0003740616,0.0002209387,0.0007379428],"category_scores_gemma":[0.0008844644,0.0001247415,0.0001778002,0.0003700328,0.0001457976,0.000349207,0.0003142465,0.0001966563,0.0001382743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005324911,"about_ca_system_score_gemma":0.0002758308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0207876,"about_ca_topic_score_gemma":0.03759103,"domain_scores_codex":[0.9997577,0.00002809294,0.000007935036,0.00006533849,0.0001007096,0.00004015695],"domain_scores_gemma":[0.9994186,0.0001681095,0.0001518256,0.00002662909,0.0001733984,0.00006148331],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003730002,0.0002022814,0.8197513,0.0002208603,0.0002103735,0.0001901077,0.0003713545,0.05884476,0.05929995,0.0002573688,0.0006018826,0.05967676],"study_design_scores_gemma":[0.00001511982,0.0005337174,0.8462358,0.00003834572,0.00008454176,0.0001426673,0.0004386893,0.1390879,0.01220301,0.0002545018,0.0009344743,0.00003124733],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942689,0.0001221208,0.004357315,0.00001530778,0.000007280204,0.00001748103,0.0002066075,0.00006607642,0.0009389656],"genre_scores_gemma":[0.9959198,0.00003768376,0.003643216,0.00001049586,0.000001973921,0.000009401462,0.0001629962,0.000004532674,0.0002097336],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0207876,"threshold_uncertainty_score":0.0413332,"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."}}