{"id":"W2165214132","doi":"10.1656/045.022.0201","title":"Known Breeding Distribution and Abundance of Golden Eagles in Eastern North America","year":2015,"lang":"en","type":"article","venue":"Northeastern Naturalist","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère des Ressources naturelles et des Forêts; Institut de Recherche et de Développement en Agroenvironnement","funders":"Bird Studies Canada","keywords":"Eagle; Geography; Breed; Range (aeronautics); Distribution (mathematics); Abundance (ecology); Population; Ecology; Archaeology; Biology; 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":[0.0002968906,0.000126779,0.0001528655,0.001019381,0.0004547498,0.0002707304,0.000248803,0.0001093399,0.001000715],"category_scores_gemma":[0.0004963542,0.0001123297,0.000120666,0.0007656523,0.0003412513,0.0002633222,0.0002554347,0.00009157544,0.0001349327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008697055,"about_ca_system_score_gemma":0.0004478808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3249691,"about_ca_topic_score_gemma":0.7456813,"domain_scores_codex":[0.9998407,0.00001982277,0.0000169607,0.00004825713,0.00004509695,0.00002917977],"domain_scores_gemma":[0.9994285,0.00007434922,0.0001911943,0.00003321607,0.000185713,0.00008701121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001973921,0.000005606345,0.9910551,0.0000195474,0.00002570472,0.0001002066,0.0005831217,0.00005241533,0.001307977,0.00002003605,0.0002160625,0.006594374],"study_design_scores_gemma":[3.778329e-7,0.000004439365,0.9994239,0.000004314894,0.000002772309,0.00005986511,0.0002238051,0.00001926464,0.00003175988,0.000003023786,0.0002252958,0.000001256052],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977608,0.000434223,0.0000744259,0.00001950779,0.000001937259,0.000005017224,0.0004843349,0.000004551285,0.001215181],"genre_scores_gemma":[0.998251,0.0004882994,0.0002788671,0.00002017779,0.000003151726,0.000006219214,0.0004918668,0.000002087872,0.0004583274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3249691,"threshold_uncertainty_score":0.6461552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01693007495789601,"score_gpt":0.2406648589842142,"score_spread":0.2237347840263182,"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."}}