{"id":"W2280243844","doi":"10.1038/nature16544","title":"Ancient gene flow from early modern humans into Eastern Neanderthals","year":2016,"lang":"en","type":"article","venue":"Nature","topic":"Forensic and Genetic Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":607,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"National Institute of General Medical Sciences; National Institute of Mental Health","keywords":"Neanderthal; Population; Evolutionary biology; Hominidae; Gene flow; Biology; Ancient DNA; Geography; Archaeology; Biological evolution; Gene; Genetic variation; Genetics; Demography","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":[0.00009541807,0.0001361508,0.0001114875,0.00002680385,0.00006574651,0.00002840153,0.0002633889,0.0007969257,0.00008173397],"category_scores_gemma":[0.00004680742,0.00008831497,0.00008265141,0.00004556039,0.00009209013,0.00000333454,0.0001492628,0.0003037445,0.00008410658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000134163,"about_ca_system_score_gemma":0.00004865089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004094482,"about_ca_topic_score_gemma":0.00008941175,"domain_scores_codex":[0.998903,0.00002840076,0.0001169397,0.0004142274,0.0002616754,0.0002757419],"domain_scores_gemma":[0.9993275,0.000008942297,0.00003070076,0.0003938839,0.0001211072,0.0001179033],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001141205,0.00002800165,0.00858329,0.000003961111,0.00005146887,0.000006576422,0.0001383558,0.00000668544,0.9330219,0.00002693499,0.012287,0.04573168],"study_design_scores_gemma":[0.001638368,0.0004042088,0.06386113,0.00003944645,0.00001821203,0.000006295997,0.00002967167,0.0003876433,0.8240978,0.002795702,0.1063035,0.0004180695],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897565,0.004193645,0.004211061,0.0005717637,0.0002145267,0.0001147705,0.0000546844,0.00001135628,0.0008716417],"genre_scores_gemma":[0.9926645,0.0001386755,0.001751048,0.000670251,0.0005112243,0.000009797884,0.00006906746,0.00002120232,0.004164249],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1089242,"threshold_uncertainty_score":0.6146621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00951618878043,"score_gpt":0.2702816083628198,"score_spread":0.2607654195823899,"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."}}