{"id":"W2781493036","doi":"10.1093/molbev/msx333","title":"The Gateway from Near into Remote Oceania: New Insights from Genome-Wide Data","year":2017,"lang":"en","type":"article","venue":"Molecular Biology and Evolution","topic":"Forensic and Genetic Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":89,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Archipelago; Biological dispersal; Biology; Evolutionary biology; Gene flow; Demographic history; Genetic admixture; Indigenous; Out of africa; Genealogy; Bottleneck; Population; Genetic variation; Ecology; Demography; History; Genetics; 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":[0.0001677113,0.000166455,0.0001459103,0.00001607003,0.0009903461,0.0001278448,0.0008979677,0.0003053412,0.00001036956],"category_scores_gemma":[0.0004297211,0.0001216908,0.00004683139,0.00002688099,0.0007255501,0.00000872945,0.001037588,0.0001582768,0.00003579861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001451875,"about_ca_system_score_gemma":0.0001526405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004006296,"about_ca_topic_score_gemma":0.001782129,"domain_scores_codex":[0.9986795,0.0001417911,0.0001782521,0.0006298197,0.00009745922,0.0002731776],"domain_scores_gemma":[0.9978605,0.00003430275,0.0001049118,0.001810897,0.00005802627,0.0001313786],"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":[0.0002948292,0.00001937166,0.01844374,0.000004084905,0.0002875163,0.00001618606,0.0001000938,0.00001472811,0.9520691,0.0007143235,0.005986202,0.02204981],"study_design_scores_gemma":[0.00202934,0.0005673585,0.4557795,0.00002888175,0.0001136035,0.00001080696,0.0001171816,0.003144876,0.0639866,0.1419988,0.3315485,0.0006745007],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9353837,0.01710552,0.04492998,0.001622625,0.0002590585,0.000159574,0.00005426143,0.000009612378,0.0004756335],"genre_scores_gemma":[0.9933796,0.001154562,0.003139899,0.0002173581,0.000329608,0.00000191855,0.001400042,0.00001656296,0.0003604383],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8880825,"threshold_uncertainty_score":0.7617041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01458388459916531,"score_gpt":0.2924567421299333,"score_spread":0.277872857530768,"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."}}