{"id":"W2595015865","doi":"10.1002/aqc.2765","title":"Genetic population structure of black‐browed and Campbell albatrosses, and implications for assigning provenance of birds killed in fisheries","year":2017,"lang":"en","type":"article","venue":"Aquatic Conservation Marine and Freshwater Ecosystems","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"Natural Sciences and Engineering Research Council of Canada; Natural Environment Research Council; Sight Research UK","keywords":"Bycatch; Albatross; Mitochondrial DNA; Population; Biology; Seabird; Zoology; IUCN Red List; Fishery; Geography; Ecology; Fishing; Demography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001492114,0.00009146165,0.0001743021,0.00005579459,0.0001126131,0.00005865203,0.00007866866,0.00007999044,0.000005049947],"category_scores_gemma":[0.000179986,0.00008650214,0.00001973501,0.00003336594,0.0001102234,0.00001986765,0.00005867935,0.00002611593,1.033957e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004587823,"about_ca_system_score_gemma":0.00002270852,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004619467,"about_ca_topic_score_gemma":0.0552333,"domain_scores_codex":[0.9992046,0.0000352419,0.0004065563,0.0002224522,0.00004775646,0.00008340269],"domain_scores_gemma":[0.9990977,0.00003348857,0.0004169827,0.000310858,0.0001144318,0.00002653647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002472554,0.00001112093,0.7821502,0.0002118001,0.00001658082,2.416377e-8,0.00009793702,0.000003092902,0.215871,0.000652238,0.0001394076,0.0008218625],"study_design_scores_gemma":[0.001118409,0.0001003455,0.9518884,0.00005465551,0.00002988959,0.00000506897,0.00008772565,0.01386191,0.02887021,0.001418174,0.00242072,0.0001444388],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973645,0.0001058861,0.001283981,0.0005640405,0.00005319879,0.0005255553,0.00007352018,0.000003604159,0.00002566889],"genre_scores_gemma":[0.9976452,0.0001069322,0.001720879,0.00002557075,0.00002626939,0.00004303765,0.0002609744,0.00001034434,0.0001607829],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1870008,"threshold_uncertainty_score":0.9620062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02061675104631814,"score_gpt":0.2556182404666583,"score_spread":0.2350014894203401,"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."}}