{"id":"W4415497204","doi":"10.1093/ornithapp/duaf074","title":"Leveraging eBird data products to inform regional bird conservation priorities and objectives","year":2025,"lang":"en","type":"article","venue":"Ornithological applications","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Heritage","funders":"U.S. Fish and Wildlife Service; Sonoran Joint Venture","keywords":"Bird conservation; Habitat; Population; Biodiversity; Citizen science; Abundance (ecology); Baseline (sea); Population growth; Habitat destruction","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.01490556,0.0005968118,0.00042172,0.005781729,0.0007566657,0.004016235,0.001331139,0.000791418,0.004906195],"category_scores_gemma":[0.0322024,0.0003435844,0.0003351533,0.005061744,0.0004507425,0.004608039,0.0025987,0.001005819,0.002129578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009952585,"about_ca_system_score_gemma":0.001733285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02014676,"about_ca_topic_score_gemma":0.03300278,"domain_scores_codex":[0.9953108,0.002283268,0.0006414593,0.0006492296,0.0009192508,0.0001959775],"domain_scores_gemma":[0.9613038,0.01437645,0.00550795,0.00691226,0.01082856,0.001070997],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000574791,0.0004322371,0.4353463,0.001342276,0.0003430657,0.0005253544,0.003830559,0.01783676,0.007679413,0.01213689,0.09238555,0.4275667],"study_design_scores_gemma":[0.000138952,0.0004271612,0.312272,0.002792721,0.0003946231,0.0004538841,0.01754275,0.1061639,0.02283054,0.02756078,0.5090619,0.000360766],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3656619,0.003058974,0.2076601,0.01307397,0.0005929103,0.002661599,0.1707387,0.0143181,0.2222337],"genre_scores_gemma":[0.6189756,0.0009575322,0.3131542,0.001508376,0.0001639303,0.0007277587,0.05692647,0.000770513,0.006815565],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02014676,"threshold_uncertainty_score":0.07882905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0937015455077562,"score_gpt":0.3145721833972654,"score_spread":0.2208706378895092,"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."}}