{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005252335,0.0008644435,0.0006878318,0.002940259,0.0005717046,0.0006429918,0.0008843123,0.0004329373,0.01766463],"category_scores_gemma":[0.001520751,0.0004667998,0.0003528395,0.00380992,0.0002082132,0.0004723352,0.000881801,0.0005767173,0.01419643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004834634,"about_ca_system_score_gemma":0.001329363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04872859,"about_ca_topic_score_gemma":0.07138545,"domain_scores_codex":[0.9995964,0.00004152125,0.00006211051,0.0001186267,0.0001147808,0.00006667255],"domain_scores_gemma":[0.9989116,0.0002111137,0.0002152714,0.0001955257,0.0003571697,0.0001092808],"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":[0.0003707492,0.0001149437,0.1236611,0.002269056,0.0003172783,0.000362693,0.0006112605,0.002426935,0.001765193,0.001272672,0.8353445,0.03148369],"study_design_scores_gemma":[0.0001462315,0.00005590003,0.2292853,0.0005276143,0.00013633,0.0002260657,0.0008370244,0.0006523037,0.0009455255,0.0007481602,0.7663953,0.00004421929],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004994819,0.0000934506,0.0001072364,0.00001473656,0.00001350388,0.000008949958,0.9934864,0.00009692438,0.001184008],"genre_scores_gemma":[0.005598819,0.00006702566,0.000399938,0.000008497053,0.000003826965,0.00005272633,0.9929239,0.0000263797,0.000918996],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04872859,"threshold_uncertainty_score":0.09688991,"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."}}