{"id":"W4232666421","doi":"10.3133/ds1128","title":"Biotelemetry data for Golden Eagles (Aquila chrysaetos) captured in coastal southern California, February 2017–December 2019","year":2020,"lang":"en","type":"article","venue":"Data series","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Eagle; Wildlife; Geography; Fishery; Population; Nest (protein structural motif); Fish <Actinopterygii>; Habitat; Archaeology; Ecology; Biology; Demography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002331874,0.0003025693,0.0001250677,0.001874628,0.0005329562,0.0003447996,0.0003086675,0.0001438738,0.00463156],"category_scores_gemma":[0.0005289665,0.000231063,0.0001452822,0.0008604475,0.0001422622,0.0002753474,0.0003601895,0.0002492886,0.001569128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006901622,"about_ca_system_score_gemma":0.0006014148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1343022,"about_ca_topic_score_gemma":0.3784549,"domain_scores_codex":[0.9998443,0.00000811722,0.00002291875,0.00004067926,0.00005814628,0.00002583574],"domain_scores_gemma":[0.9993114,0.00003543567,0.0002229041,0.00004402208,0.0002770327,0.0001090754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001313323,0.00004961103,0.9409074,0.00008155261,0.00005206674,0.0002128,0.0003558498,0.0001800665,0.001280339,0.00003899139,0.03662522,0.02008471],"study_design_scores_gemma":[0.000006595812,0.00002295152,0.992511,0.00001885587,0.000006828694,0.00007362095,0.0002197861,0.00004698839,0.0001415868,0.000005831163,0.006941574,0.000004254862],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.8869984,0.0004787176,0.0003352953,0.0001648537,0.0001046487,0.0001128135,0.09266274,0.0001327181,0.01900975],"genre_scores_gemma":[0.8309896,0.001421491,0.001436008,0.0001608826,0.00008691851,0.0003509798,0.1424781,0.00005270356,0.02302339],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.1343022,"threshold_uncertainty_score":0.267041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.049101964777279,"score_gpt":0.2713885507960184,"score_spread":0.2222865860187394,"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."}}