{"id":"W2977097847","doi":"10.1111/ibi.12785","title":"Using microphone arrays to investigate microhabitat selection by declining breeding birds","year":2019,"lang":"en","type":"article","venue":"Ibis","topic":"Animal Vocal Communication and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Environment and Climate Change Canada; Natural Sciences and Engineering Research Council of Canada; Memorial University of Newfoundland","keywords":"Warbler; Selection (genetic algorithm); Boreal; Biology; Ecology; Population; Cape; Taiga; Seasonal breeder; Habitat; Geography; Demography","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":[0.0001155569,0.0001063325,0.00009861942,0.00003661711,0.00008355379,0.00003074912,0.0001625759,0.0001032136,0.0000429113],"category_scores_gemma":[0.00003167231,0.0001107567,0.00004964664,0.0001437373,0.00002998495,0.000004493851,0.0001153821,0.00009323382,0.0001191154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002436601,"about_ca_system_score_gemma":0.0000358775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009166128,"about_ca_topic_score_gemma":0.00002853094,"domain_scores_codex":[0.9993206,0.00003562119,0.0001529531,0.000243587,0.00006858039,0.0001786765],"domain_scores_gemma":[0.999571,0.000006327523,0.00005371821,0.0002083792,0.00006483776,0.00009578793],"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":[0.00003159897,0.00002048718,0.01999593,0.000004561217,0.0000078834,1.635093e-7,0.00005184001,0.00002472181,0.9769444,0.000002807875,0.002366841,0.0005487706],"study_design_scores_gemma":[0.0002258731,0.0002850119,0.001308419,0.00001971512,0.00001122536,0.000010782,0.0001014306,0.0001287045,0.9635773,0.000005139933,0.03414921,0.0001772026],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966426,0.0001867634,0.002382117,0.0001862157,0.0001056057,0.0001286738,0.000007652181,0.00002056702,0.0003398348],"genre_scores_gemma":[0.9841038,0.0000210596,0.01392672,0.001079034,0.00007132169,0.000004680793,0.0000351316,0.00002479079,0.0007334346],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03178237,"threshold_uncertainty_score":0.4516529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0393567306824455,"score_gpt":0.3100577217574152,"score_spread":0.2707009910749698,"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."}}