{"id":"W6920816798","doi":"10.6073/pasta/fea50e96eb343b579b0b69f317b70cda","title":"Manual annotation of individual ovenbirds in acoustic recordings","year":2024,"lang":"en","type":"dataset","venue":"Environmental Data Initiative","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Annotation; Data recording; Variety (cybernetics); Range (aeronautics); Bioacoustics","routes":{"ca_aff":false,"ca_fund":false,"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":[0.001348059,0.001300116,0.001026415,0.003480325,0.001203008,0.001511264,0.001553176,0.001101155,0.01867953],"category_scores_gemma":[0.004432873,0.0004002297,0.0009375228,0.00253775,0.0005715867,0.0009478724,0.002322387,0.001098337,0.02924451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008819855,"about_ca_system_score_gemma":0.001754149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01665499,"about_ca_topic_score_gemma":0.05361327,"domain_scores_codex":[0.9974088,0.000299057,0.0002581019,0.001075955,0.0007209614,0.0002370428],"domain_scores_gemma":[0.9963017,0.0007391485,0.0002829086,0.0009631873,0.001497147,0.0002158922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006297763,0.0001121957,0.02450318,0.004462948,0.0001371554,0.0006335833,0.002235109,0.001399502,0.04974645,0.001390431,0.7511632,0.1635864],"study_design_scores_gemma":[0.00005007437,0.00005207258,0.06838501,0.0007919188,0.0000892079,0.0004174506,0.0009972729,0.002017507,0.008477858,0.001020612,0.9175957,0.0001053352],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02240225,0.001413612,0.02114653,0.0001923296,0.0006579276,0.0005096704,0.9263172,0.009632095,0.01772845],"genre_scores_gemma":[0.01952277,0.0004110601,0.03376641,0.0002490772,0.00007676042,0.001344388,0.9343274,0.001868424,0.008433742],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01867953,"threshold_uncertainty_score":0.06248927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05111044336524725,"score_gpt":0.314444641747657,"score_spread":0.2633341983824097,"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."}}