{"id":"W3124413425","doi":"10.1016/j.jas.2020.105321","title":"Genomic sex identification of ancient pinnipeds using the dog genome","year":2021,"lang":"en","type":"article","venue":"Journal of Archaeological Science","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"Horizon 2020; Horizon 2020 Framework Programme; Bundesministerium für Bildung und Forschung; Academy of Finland; Innovationsfonden; European Commission; Forschungszentrum Jülich; Stiftelsen för Miljöstrategisk Forskning","keywords":"Biology; Canis; Evolutionary biology; Identification (biology); Microsatellite; Genome; Ancient DNA; Zoology; Genetics; Ecology; Demography; Population; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002184746,0.00005658177,0.000119855,0.00003816683,0.0002611391,0.00001454805,0.0005587136,0.00003708721,0.0004029611],"category_scores_gemma":[0.0003575483,0.00003438179,0.00006011686,0.000618931,0.002207814,0.0002398987,0.0003947667,0.0001540815,0.00001420899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000147686,"about_ca_system_score_gemma":0.0001296057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001348696,"about_ca_topic_score_gemma":0.000007867947,"domain_scores_codex":[0.9986687,0.0001112474,0.000419758,0.0001611674,0.0004415113,0.0001976288],"domain_scores_gemma":[0.999167,0.00009578597,0.0004143252,0.0001688644,0.00007964546,0.00007442619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0000050833,0.00003528647,0.4057162,9.511242e-7,0.000002398596,0.00001017582,0.0003658387,0.00375718,0.5893233,0.0002315766,0.00001654993,0.0005354403],"study_design_scores_gemma":[0.00007894175,0.00006728588,0.9876664,0.000002920566,0.000008902452,0.0001812254,0.0001709213,0.002288954,0.007107597,0.001985772,0.0003981803,0.00004285227],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919978,0.00009898928,0.005546712,0.001944485,0.0001687715,0.00005139639,7.564557e-7,0.000002479851,0.0001885521],"genre_scores_gemma":[0.9962572,0.00003235257,0.002777914,0.0008162702,0.00003202523,6.905099e-7,1.92189e-7,0.000001528789,0.00008185261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5822157,"threshold_uncertainty_score":0.8134784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02669620870880463,"score_gpt":0.2675793546032845,"score_spread":0.2408831458944798,"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."}}