{"id":"W2025431737","doi":"10.1002/wsb.88","title":"Evaluation of an automated recording device for monitoring forest birds","year":2011,"lang":"en","type":"article","venue":"Wildlife Society Bulletin","topic":"Animal Vocal Communication and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Natural Resources and Forestry; Ontario Forest Research Institute; Canadian Forest Service","funders":"","keywords":"Wildlife; Environmental science; Taiga; Offset (computer science); Geography; Ecology; Forestry; Biology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001023362,0.00009426579,0.00009800799,0.000009898263,0.0001010833,0.000008355893,0.0002036399,0.0001373476,0.00003976015],"category_scores_gemma":[0.0001254778,0.00009533513,0.0001385146,0.00005326065,0.00005127836,0.000003339447,0.00006500172,0.00005520288,0.000005853441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002181637,"about_ca_system_score_gemma":0.00006679927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007452522,"about_ca_topic_score_gemma":0.00001221891,"domain_scores_codex":[0.9991904,0.0001002071,0.0001973702,0.0001870695,0.0001869708,0.0001379798],"domain_scores_gemma":[0.9990772,0.00001186267,0.0001160031,0.0002979434,0.0004438747,0.00005309258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003102901,0.0009179772,0.07325491,0.0001192132,0.0003061662,2.83986e-7,0.001758973,0.0001361484,0.8395662,0.0001476989,0.03900664,0.04447545],"study_design_scores_gemma":[0.005672201,0.002834988,0.2364615,0.0002040803,0.001054541,0.00001188004,0.007104478,0.02835739,0.535247,0.0002547332,0.1815147,0.001282654],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982151,0.0001590944,0.0005218437,0.000179237,0.00008270372,0.0002943502,0.000009649857,0.00006010379,0.0004779516],"genre_scores_gemma":[0.9752691,0.00006097591,0.0241394,0.0001882696,0.0001123284,0.00008302919,0.0000657039,0.00002198461,0.00005917764],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3043193,"threshold_uncertainty_score":0.3887654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09738579386133239,"score_gpt":0.3565804549469654,"score_spread":0.259194661085633,"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."}}