{"id":"W6967674937","doi":"10.5066/p9f8dv8o","title":"Spectacled Eider (Somateria fischeri) Microsatellite and Mitochondrial DNA Data, 2014-2018, Alaska and Russia","year":2019,"lang":"en","type":"dataset","venue":"USGS DOI Tool Production Environment","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mitochondrial DNA; Microsatellite; Eider; Locus (genetics); Feather; Nuclear DNA","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.00080104,0.001377238,0.001174673,0.0003415577,0.0003384156,0.0005313047,0.0009350604,0.0007619868,0.003829141],"category_scores_gemma":[0.0001655202,0.001340781,0.0001119898,0.0001312482,0.0007837789,0.001165158,0.002006919,0.0006613227,0.02445738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004689255,"about_ca_system_score_gemma":0.0000964987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001335516,"about_ca_topic_score_gemma":0.00002828308,"domain_scores_codex":[0.9923856,0.0004394945,0.001169833,0.004012205,0.001029291,0.0009636382],"domain_scores_gemma":[0.9930519,0.00006958761,0.0009913889,0.005560223,0.00002094749,0.000305877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004197799,0.0003233771,0.0003886958,0.0004058438,0.0003152179,0.00002073486,0.00009086116,0.00002985745,0.09162723,8.162139e-7,0.906163,0.0002145751],"study_design_scores_gemma":[0.001436719,0.0001720749,0.01350035,0.000128788,0.0006637963,0.0002576804,0.00004579281,0.00001169469,0.005063633,0.00002151057,0.9772255,0.001472473],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.06026744,0.002410169,0.00000633277,0.0005654164,0.004762939,0.002809513,0.9290373,0.0001229608,0.00001794944],"genre_scores_gemma":[0.0002262812,0.009340573,0.00200604,0.0001091189,0.00377712,0.0001336701,0.980606,0.0003101143,0.003491046],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08656359,"threshold_uncertainty_score":0.9998978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02005932359725831,"score_gpt":0.2388178024075588,"score_spread":0.2187584788103004,"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."}}