{"id":"W4282827995","doi":"10.1016/j.ecoinf.2022.101688","title":"Passive acoustic monitoring of animal populations with transfer learning","year":2022,"lang":"en","type":"article","venue":"Ecological Informatics","topic":"Animal Vocal Communication and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Global Affairs Canada; African Institute for Mathematical Sciences; International Development Research Centre; Division of Mathematical Sciences; Malawi University of Science and Technology; Government of Canada; Microsoft","keywords":"Transfer of learning; Computer science; Convolutional neural network; Bioacoustics; Artificial intelligence; Rendering (computer graphics); Machine learning; Deep learning; Neuroevolution; Binary classification; Artificial neural network","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001543241,0.0005250238,0.0005473812,0.0008012307,0.0002965839,0.0005898837,0.001593813,0.0006803242,0.006271867],"category_scores_gemma":[0.006986503,0.0002449978,0.0003619186,0.0007102895,0.0009394957,0.001604251,0.001993031,0.0008120133,0.001827699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000483522,"about_ca_system_score_gemma":0.0004745109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001252018,"about_ca_topic_score_gemma":0.001560586,"domain_scores_codex":[0.9991498,0.0002046725,0.00002554869,0.0003244288,0.0002374362,0.00005811072],"domain_scores_gemma":[0.9978763,0.0008360562,0.000306501,0.0004943113,0.0003492786,0.0001375503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009420223,0.0004625814,0.01770024,0.0002738491,0.0001472818,0.0001252014,0.0003623378,0.0748475,0.1555158,0.00152752,0.002720775,0.7453749],"study_design_scores_gemma":[0.00007030914,0.0005605188,0.0332233,0.00003294707,0.00006860377,0.0003839321,0.00009912785,0.9150752,0.04008975,0.007674932,0.002661609,0.00005976569],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.246719,0.0001477496,0.7411328,0.0002408134,0.0001173815,0.0002844228,0.0006793525,0.003140271,0.007538262],"genre_scores_gemma":[0.8857352,0.00007269657,0.1070055,0.0001351208,0.00008928258,0.0002967861,0.0004939689,0.0002543562,0.005917107],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006271867,"threshold_uncertainty_score":0.02098149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04458726763396229,"score_gpt":0.2959407619321739,"score_spread":0.2513534942982116,"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."}}