{"id":"W1659012024","doi":"","title":"Individual and roost identification using the echolocation calls of wild big brown bats, eptesicus fuscus","year":2005,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Bat Biology and Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Eptesicus fuscus; Human echolocation; Spectrogram; Myotis lucifugus; Acoustics; Hibernation (computing); Identification (biology); Bioacoustics; Waveform; Speech recognition; Computer science; Telecommunications; Biology; Zoology; Physics; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000217026,0.00007280135,0.00009091353,0.00001679495,0.0003662419,0.00002047685,0.000137961,0.0001296569,0.000038553],"category_scores_gemma":[0.0001006201,0.00002882739,0.00001886875,0.0001392818,0.0002273738,0.00003972705,0.00002747799,0.00009292494,0.000007921466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000417765,"about_ca_system_score_gemma":0.00003234327,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.006876506,"about_ca_topic_score_gemma":0.1419208,"domain_scores_codex":[0.9994246,0.00004043765,0.000152402,0.0001364345,0.00005088893,0.0001952207],"domain_scores_gemma":[0.999612,0.0001234618,0.00007439082,0.00004723766,0.00006309694,0.00007977346],"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":[0.00001267774,0.00005839848,0.1237579,0.00001391225,0.0001116921,0.000004179655,0.0008526469,0.0003801025,0.4482126,0.0005598739,0.008442704,0.4175933],"study_design_scores_gemma":[0.00005162445,0.00003625452,0.9950546,0.000004885119,0.00004992979,0.000008430473,0.0005286388,0.0003674018,0.0005704252,0.0001088679,0.00313595,0.00008298407],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955669,0.0004934993,0.00002238363,0.003388055,0.0001567677,0.0001096949,0.0001165059,0.00000864271,0.000137529],"genre_scores_gemma":[0.9987713,0.00009871888,0.00007372663,0.0006715879,0.0002352995,0.000003758977,0.00003800555,6.111056e-7,0.0001070607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8712968,"threshold_uncertainty_score":0.9997368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03417130152956625,"score_gpt":0.2223552131104707,"score_spread":0.1881839115809045,"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."}}