{"id":"W3033624628","doi":"10.1126/science.aba8697","title":"Genomic insights into the early peopling of the Caribbean","year":2020,"lang":"en","type":"article","venue":"Science","topic":"Forensic and Genetic Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":115,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg","funders":"Agencia Estatal de Investigación; Ministerio de Ciencia, Innovación y Universidades; European Commission; Humanities in the European Research Area; Social Sciences and Humanities Research Council of Canada; Max-Planck-Gesellschaft; European Research Council; National Science Foundation","keywords":"Biological dispersal; Settlement (finance); Caribbean region; Range (aeronautics); Geography; Colonization; Out of africa; Caribbean island; Archaeology; Ethnology; History; Ecology; Biology; Latin Americans; Demography; Population","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":[0.0001688459,0.00004054319,0.00003858436,0.000008357199,0.0001820546,0.00001973652,0.0006770678,0.00002039475,0.000003412727],"category_scores_gemma":[0.0001245966,0.00002058306,0.00003284465,0.0002477427,0.0008402226,0.000001704834,0.0003634725,0.00005691881,0.000006801948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000443194,"about_ca_system_score_gemma":0.000205054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005975662,"about_ca_topic_score_gemma":0.00003741456,"domain_scores_codex":[0.9993973,0.00002112104,0.00007184644,0.0001770963,0.0002088839,0.0001237679],"domain_scores_gemma":[0.9995713,0.000006029873,0.00002686321,0.0002807438,0.000066548,0.00004849376],"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":[0.000005058593,0.000002070088,0.003835608,0.000002589195,0.000002333848,9.285112e-8,0.001844938,0.00007727148,0.9925886,0.000179051,0.00009368439,0.00136872],"study_design_scores_gemma":[0.0000894882,0.0001320766,0.1025438,0.000003380181,0.00000306536,0.000001004537,0.0004644075,0.0004324834,0.8829165,0.0003268333,0.01302863,0.00005835794],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968437,0.0005606097,0.0002033126,0.001372143,0.00007276785,0.00008418185,5.157756e-7,0.000001471595,0.0008612847],"genre_scores_gemma":[0.999303,0.00003476163,0.0001514364,0.000325755,0.00006981283,0.000001876051,3.922035e-7,0.000002815988,0.0001101516],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1096721,"threshold_uncertainty_score":0.3095835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01296740598539816,"score_gpt":0.2561733345155583,"score_spread":0.2432059285301602,"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."}}