{"id":"W2944348962","doi":"10.5281/zenodo.16293583","title":"Using vocal individuality to monitor Queen Charlotte Saw-whet owls (Aegolius acadicus brooksi)","year":2005,"lang":"en","type":"article","venue":"Biodiversity Heritage Library (Smithsonian Institution)","topic":"Animal Vocal Communication and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"British Columbia Knowledge Development Fund; U.S. Forest Service; Natural Sciences and Engineering Research Council of Canada; Vancouver Foundation","keywords":"Queen (butterfly); Zoology; Art; Acoustics; Geography; Biology; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001268334,0.0003047105,0.0002506697,0.0001170583,0.0005917313,0.0001767005,0.0007996269,0.0003393036,0.0002673315],"category_scores_gemma":[0.0000356153,0.0003272025,0.0001768961,0.0002554449,0.0003014709,0.0001575662,0.0008718551,0.0002771979,0.0005488138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008387099,"about_ca_system_score_gemma":0.0001786007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001716873,"about_ca_topic_score_gemma":0.00002753352,"domain_scores_codex":[0.9982712,0.0001542639,0.0003239072,0.000547916,0.0002679397,0.0004347778],"domain_scores_gemma":[0.9987518,0.000009139701,0.0001174249,0.0006372401,0.00005847342,0.0004259056],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004776925,0.0005677813,0.9485798,0.00005436367,0.0001295578,0.00003909454,0.0004975797,0.00009081434,0.01727439,0.001490861,0.02255752,0.008240558],"study_design_scores_gemma":[0.00116409,0.0003294683,0.5721259,0.00005212769,0.0000841911,0.00003499353,0.000324055,0.0000411725,0.04300073,0.00001173622,0.3819844,0.000847208],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928291,0.0002010381,0.0008861211,0.002923477,0.0002089568,0.0004213258,0.0006353642,0.000153513,0.00174106],"genre_scores_gemma":[0.9810788,0.00008123858,0.01385748,0.003395184,0.0003670772,0.00001064396,0.00009712127,0.00001906446,0.001093367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.376454,"threshold_uncertainty_score":0.999918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03882672088720426,"score_gpt":0.2754150127572586,"score_spread":0.2365882918700543,"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."}}