{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004048508,0.0005108728,0.000917504,0.001244628,0.0006040524,0.001794175,0.001000838,0.001055584,0.001410972],"category_scores_gemma":[0.008178065,0.0004562183,0.00133675,0.003079167,0.0007409627,0.001480593,0.001136434,0.001304374,0.0002029202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003876544,"about_ca_system_score_gemma":0.0004542356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01439087,"about_ca_topic_score_gemma":0.02204677,"domain_scores_codex":[0.9988703,0.0006536301,0.00005260594,0.0003287304,0.00005204307,0.00004266001],"domain_scores_gemma":[0.9937487,0.005136855,0.0003163703,0.000485692,0.0001357121,0.0001765854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000473453,0.0001736526,0.6919618,0.001015965,0.003311603,0.001337052,0.002547598,0.2319378,0.006955808,0.01223826,0.006354231,0.04169282],"study_design_scores_gemma":[0.0001877995,0.0001029752,0.4578024,0.0003259595,0.001300865,0.0003904267,0.001935133,0.4855183,0.0008933057,0.03680819,0.01457524,0.0001594636],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9701198,0.00338942,0.01558814,0.001897947,0.00004645567,0.00002162698,0.007161561,0.0002430645,0.001531991],"genre_scores_gemma":[0.968316,0.001519739,0.02115159,0.0004718688,0.00005407096,0.00004345552,0.008137533,0.0001237377,0.0001820711],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01439087,"threshold_uncertainty_score":0.02861422,"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."}}