{"id":"W2945120733","doi":"10.1111/acv.12511","title":"Ecosystem processes, land cover, climate, and human settlement shape dynamic distributions for golden eagle across the western US","year":2019,"lang":"en","type":"article","venue":"Animal Conservation","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Occupancy; Eagle; Geography; Transect; Disturbance (geology); Ecology; Breeding bird survey; Land cover; Philopatry; Habitat; Apex predator; Climate change; Physical geography; Land use; Biological dispersal; Biology; Population; Demography","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":[0.0003977785,0.0001054473,0.0001218523,0.0003726087,0.0002037642,0.0004029196,0.0001840941,0.0001209057,0.000831053],"category_scores_gemma":[0.0006768942,0.00009533861,0.0002226411,0.0004030569,0.0002188831,0.0002346205,0.000378375,0.0001280243,0.00006554803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003483564,"about_ca_system_score_gemma":0.0002314524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06200908,"about_ca_topic_score_gemma":0.1601329,"domain_scores_codex":[0.9998956,0.00002834804,0.000008540736,0.00004038764,0.00001096349,0.00001613406],"domain_scores_gemma":[0.9996418,0.0000787311,0.0001309435,0.00004477467,0.00005131433,0.00005236905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002210711,0.000009703509,0.9967638,0.000004036315,0.0000384434,0.00002269684,0.0001109813,0.0005165178,0.0003176487,0.00005368507,0.000142148,0.001998207],"study_design_scores_gemma":[0.000001398211,0.0000090687,0.997748,0.000004035225,0.00001116779,0.00002072341,0.0002264191,0.001694032,0.00003932364,0.0000550726,0.0001891395,0.000001708764],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994766,0.00004163081,0.000112897,0.0000252409,0.000001004314,0.000001226384,0.0001623185,0.000003014757,0.0001760544],"genre_scores_gemma":[0.9997005,0.00002201876,0.00007091357,0.00000786044,0.000001005589,0.000001274112,0.0001389944,9.277867e-7,0.00005661369],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06200908,"threshold_uncertainty_score":0.1232963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02241400041612257,"score_gpt":0.2799913944927019,"score_spread":0.2575773940765794,"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."}}