{"id":"W4399729050","doi":"10.1371/journal.pone.0304964","title":"Investigating demic versus cultural diffusion and sex bias in the spread of Austronesian languages in Vietnam","year":2024,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Forensic and Genetic Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Genetics; Max-Planck-Gesellschaft; Ministry of Science and Technology","keywords":"Vietnamese; Austronesian languages; Language family; Mainland; Population; Geographical distance; Geography; Demography; Southeast asia; Evolutionary biology; Biology; Ethnology; Linguistics; History; Sociology; Archaeology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005617833,0.0001479504,0.000139871,0.0006257098,0.0004122637,0.000449992,0.0002158784,0.0001575238,0.0009189966],"category_scores_gemma":[0.001027177,0.00009614247,0.0001251624,0.000646126,0.0005109707,0.0002545223,0.000371045,0.0002366208,0.00006318845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003254061,"about_ca_system_score_gemma":0.0003000234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008579789,"about_ca_topic_score_gemma":0.01416469,"domain_scores_codex":[0.9997047,0.00008846085,0.00002284351,0.00009960739,0.00003604827,0.00004833526],"domain_scores_gemma":[0.9993601,0.0001756918,0.0002517792,0.00004134652,0.00008216616,0.00008892867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003197805,0.00005134089,0.9326936,0.00006546553,0.0001206592,0.0006777883,0.007461017,0.0002009234,0.04507867,0.0003886956,0.00006423103,0.01287779],"study_design_scores_gemma":[0.000006199276,0.00006139672,0.995195,0.0000122673,0.00002047657,0.0003483231,0.002592785,0.0002901511,0.0009520186,0.0001072185,0.0004061988,0.000007904879],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995607,0.00008958566,0.0000718059,0.00001364411,0.000001121629,0.000002524099,0.00003266793,4.892732e-7,0.0002274619],"genre_scores_gemma":[0.9996107,0.00006625832,0.0001221221,0.000009852901,0.000001710124,0.000003235206,0.00005599889,9.595436e-7,0.0001291761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008579789,"threshold_uncertainty_score":0.01705968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06966446121195562,"score_gpt":0.3187047773350122,"score_spread":0.2490403161230566,"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."}}