{"id":"W2613592827","doi":"10.1101/135616","title":"The Genomic History Of Southeastern Europe","year":2017,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Forensic and Genetic Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":102,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"Unitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetarii, Dezvoltarii si Inovarii; Irish Research Council; Deutsche Forschungsgemeinschaft; Hrvatska Zaklada za Znanost; Pennsylvania State University; University of Pennsylvania; National Institutes of Health; National Science Foundation","keywords":"Cline (biology); Geography; Prehistory; Indigenous; Steppe; Ancient DNA; Lineage (genetic); Population; Domestication; Agriculture; Ethnology; Founder effect; Archaeology; Ecology; Demography; History; Biology; Haplotype; Genotype","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006918705,0.0003334206,0.0003147278,0.00005879954,0.0001625504,0.0000816443,0.001316537,0.0003783342,0.00001315902],"category_scores_gemma":[0.0003056822,0.000276434,0.0001778774,0.00003959679,0.0006719768,0.000002677104,0.001272262,0.0004036111,0.00005342928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005798797,"about_ca_system_score_gemma":0.001547067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005759213,"about_ca_topic_score_gemma":0.00000911269,"domain_scores_codex":[0.9980422,0.0001495146,0.0003781972,0.0006813591,0.0003066312,0.00044205],"domain_scores_gemma":[0.9962274,0.0000195797,0.0004531624,0.002590183,0.0005499265,0.0001596879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007391784,0.00003490025,0.003390058,0.0001167054,0.0001659996,0.000008778308,0.000007440761,0.00001868201,0.9916419,0.0001471396,0.004381726,0.00001276569],"study_design_scores_gemma":[0.0005386016,0.0001863891,0.07496434,0.0001422016,0.00008112505,3.490794e-8,0.000003621444,0.0001252387,0.3161842,0.000003638664,0.6070981,0.0006725105],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9767636,0.01960819,0.0003906625,0.0001911743,0.002058308,0.0004999056,0.0001249008,0.0000298335,0.0003334001],"genre_scores_gemma":[0.9956118,0.002195726,0.0004419538,0.00005797918,0.0006265564,0.00005354828,6.491645e-7,0.0001004504,0.0009113142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6754577,"threshold_uncertainty_score":0.9999688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0184288705261618,"score_gpt":0.2333070294263177,"score_spread":0.2148781589001559,"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."}}