{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002015732,0.0003000935,0.0002096593,0.0006184095,0.0001954856,0.0003252485,0.0002205618,0.0003102633,0.00106268],"category_scores_gemma":[0.0005596637,0.0001728229,0.0001545355,0.0003674417,0.0001442815,0.0002692796,0.0002007232,0.0002006997,0.0003993393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002185682,"about_ca_system_score_gemma":0.0001700109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006404868,"about_ca_topic_score_gemma":0.02721968,"domain_scores_codex":[0.9998066,0.00004203451,0.000008018219,0.00006943729,0.0000448046,0.00002922082],"domain_scores_gemma":[0.9996773,0.00008779474,0.0001052267,0.00001751638,0.00008005726,0.00003209055],"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":[0.0003515593,0.00009829478,0.3494142,0.0002209513,0.0001561656,0.0001621145,0.0008267185,0.001424693,0.5636645,0.0001243115,0.0005506416,0.08300585],"study_design_scores_gemma":[0.00001369709,0.0003616198,0.9724219,0.00002342696,0.00006223142,0.0003775403,0.0007395481,0.004672084,0.0196577,0.0001003977,0.001543235,0.00002663142],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9804577,0.0006546149,0.01545807,0.00007587372,0.00003082714,0.0000495602,0.0007525136,0.00008690266,0.00243394],"genre_scores_gemma":[0.9646996,0.0005089808,0.03245094,0.0001418708,0.00002694642,0.0001264381,0.0003990381,0.00001740279,0.001628819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006404868,"threshold_uncertainty_score":0.01273519,"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."}}