{"id":"W1638150190","doi":"","title":"Bioacoustic monitoring of nocturnal songbird migration in a southern great lakes ecosystem","year":2013,"lang":"en","type":"article","venue":"Scholarship at UWindsor (University of Windsor)","topic":"Animal Vocal Communication and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada; Parks Canada; Government of Ontario; University of Windsor","keywords":"Songbird; Nocturnal; Bioacoustics; Ecosystem; Geography; Ecology; Fishery; Environmental science; Biology; Engineering; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002165943,0.0001296604,0.0001983115,0.0001263545,0.0001088421,0.00001404794,0.0004012094,0.0002062166,0.0001893219],"category_scores_gemma":[0.00003475221,0.0001450202,0.000121858,0.0001629971,0.00009368442,0.00003293827,0.0001765931,0.0001748184,0.00007912585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003731232,"about_ca_system_score_gemma":0.00004303658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003011976,"about_ca_topic_score_gemma":0.001758693,"domain_scores_codex":[0.9990975,0.000131154,0.000192298,0.0002227626,0.0001764704,0.000179838],"domain_scores_gemma":[0.9991898,0.00001714811,0.0001846781,0.0003465969,0.0001750031,0.00008678647],"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":[0.00008574154,0.00006656876,0.4613163,0.00002792463,0.00001679733,0.000001657281,0.0004425051,0.00001796146,0.5373551,0.000004644658,0.00002041474,0.0006443791],"study_design_scores_gemma":[0.001457159,0.0002951323,0.9160295,0.0001488508,0.00005938264,0.00001118001,0.008347908,0.0001290507,0.07265768,0.00003086879,0.0005455257,0.0002877242],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991568,0.0001790278,0.0001029998,0.0001171667,0.0000422369,0.0001820383,0.00003432159,0.00001069195,0.000174697],"genre_scores_gemma":[0.9980729,0.00004032682,0.0007856876,0.00001000153,0.0000331318,0.000001089296,0.00003229027,0.00001310697,0.001011488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4646975,"threshold_uncertainty_score":0.5913752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02195286889009464,"score_gpt":0.2326989115907176,"score_spread":0.2107460427006229,"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."}}