{"id":"W2098544478","doi":"10.1093/genetics/156.2.799","title":"Archaic Lineages in the History of Modern Humans","year":2000,"lang":"en","type":"article","venue":"Genetics","topic":"Forensic and Genetic Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"","keywords":"Haplotype; Biology; Lineage (genetic); Evolutionary biology; Homo sapiens; Genetics; Range (aeronautics); Phylogenetic tree; Common descent; Genetic diversity; Allele; Gene; Population; Demography; Geography","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":[0.0002229656,0.00008079639,0.00008547097,0.00002954407,0.00001626902,0.000003680779,0.0002923728,0.00007777484,0.0001296845],"category_scores_gemma":[0.00001536863,0.00006215568,0.00005183381,0.00004858503,0.0002127765,5.508853e-7,0.00003759254,0.00008270524,0.00001240837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001437528,"about_ca_system_score_gemma":0.0001091932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001846638,"about_ca_topic_score_gemma":0.0001469732,"domain_scores_codex":[0.9992018,0.0000736583,0.0001692325,0.0001746952,0.000171481,0.0002091661],"domain_scores_gemma":[0.9994817,0.00001099686,0.00002392381,0.0004193924,0.00003304171,0.00003095018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001997553,0.0003806053,0.01259087,0.00008717088,0.00007113024,0.00001873099,0.004758502,0.006815841,0.4628235,0.000186903,0.08631141,0.4257556],"study_design_scores_gemma":[0.000946481,0.0008459334,0.03345288,0.00001862935,0.00001868249,0.00001927465,0.0002110801,0.001849733,0.05018038,0.001698608,0.91044,0.0003182931],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799868,0.009805685,0.0002168632,0.0001477114,0.00006556809,0.0001293723,0.000005796544,0.000002348548,0.009639844],"genre_scores_gemma":[0.9874297,0.001811938,0.0006530726,0.0002431896,0.0001194693,0.00001106085,0.0000256236,0.00001166433,0.009694281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8241286,"threshold_uncertainty_score":0.2534635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02163831240920454,"score_gpt":0.270534028038618,"score_spread":0.2488957156294134,"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."}}