{"id":"W2587224161","doi":"10.1038/srep42187","title":"Genomic insights into the population structure and history of the Irish Travellers","year":2017,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Romani and Gypsy Studies","field":"Health Professions","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Global Health Research","funders":"Irish Centre for High-End Computing; Science Foundation Ireland; Wellcome Trust","keywords":"Irish; Population; Geography; Genealogy; Divergence (linguistics); Demography; Famine; History; Sociology; Archaeology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003050623,0.0001147936,0.0001668861,0.001245761,0.0002723958,0.0005812235,0.0002156023,0.0002925821,0.002958845],"category_scores_gemma":[0.0009837801,0.0001150814,0.0002344383,0.001507338,0.0003450837,0.000212392,0.0004433674,0.0004018128,0.0004004303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003509384,"about_ca_system_score_gemma":0.0001901339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009153706,"about_ca_topic_score_gemma":0.008872487,"domain_scores_codex":[0.9998185,0.00005319154,0.00001102444,0.00005656462,0.00002110364,0.00003975766],"domain_scores_gemma":[0.9995651,0.0001220993,0.0001603484,0.0000448083,0.00005795927,0.00004970841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004752696,0.0000531139,0.9205979,0.00006549291,0.0001128303,0.0009915959,0.003981452,0.0009010714,0.0287329,0.001747856,0.0007098762,0.04163071],"study_design_scores_gemma":[0.00000466874,0.0000444437,0.9955474,0.00002163461,0.00002167108,0.0004726673,0.000986028,0.0002616699,0.0005149334,0.0003207334,0.001796176,0.000008011536],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960975,0.0003251074,0.0006721936,0.0001192352,0.000003847796,0.000005183442,0.0004868154,0.000007199208,0.002282919],"genre_scores_gemma":[0.9978034,0.0002978089,0.0007073734,0.00004736133,0.000009073728,0.000007283224,0.0004306741,0.000007943228,0.0006890327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009153706,"threshold_uncertainty_score":0.01820081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04769493646263244,"score_gpt":0.3390096436277155,"score_spread":0.291314707165083,"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."}}