{"id":"W2754437530","doi":"10.1139/cjz-2017-0089","title":"Bats are still not birds in the digital era: echolocation call variation and why it matters for bat species identification","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Zoology","topic":"Bat Biology and Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":128,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Human echolocation; Identification (biology); Variation (astronomy); Biology; Intraspecific competition; Ecology; Citizen science; Sound production; Bioacoustics; Limiting; Data science; Evolutionary biology; Computer science; Telecommunications; Acoustics; Neuroscience","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.003946529,0.0003198351,0.0008136756,0.001588452,0.001280504,0.004543506,0.0007172338,0.001284449,0.003744615],"category_scores_gemma":[0.01322423,0.0003197074,0.0003203749,0.002096348,0.005762011,0.005373121,0.001356751,0.001672129,0.001188816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001283842,"about_ca_system_score_gemma":0.001209086,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03025138,"about_ca_topic_score_gemma":0.04824518,"domain_scores_codex":[0.9977464,0.0004611262,0.0001343378,0.0004851355,0.0009828,0.0001902427],"domain_scores_gemma":[0.9926332,0.003583393,0.0007433567,0.0005888994,0.001980826,0.0004703105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004623677,0.00005048633,0.1549377,0.001579414,0.0002415008,0.0008201906,0.01024971,0.0004129866,0.01718696,0.01633595,0.01701928,0.7807034],"study_design_scores_gemma":[0.00003391748,0.0003177408,0.6999993,0.00317062,0.0004881339,0.00767759,0.02422259,0.001545819,0.005000506,0.04986086,0.2073647,0.0003182072],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4630435,0.31021,0.05357821,0.1243113,0.003228231,0.0001415025,0.002344341,0.0007133171,0.04242964],"genre_scores_gemma":[0.8786975,0.07745955,0.01843854,0.01530747,0.002136061,0.00006411415,0.0007332789,0.0003345903,0.006828962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9697486,"threshold_uncertainty_score":0.06015062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03457051699346395,"score_gpt":0.22744351190648,"score_spread":0.1928729949130161,"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."}}