{"id":"W3185044002","doi":"10.1101/2021.07.15.452563","title":"On the Apportionment of Archaic Human Diversity","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Forensic and Genetic Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Genetics; National Institutes of Health","keywords":"Population; Evolutionary biology; Biology; Neanderthal; Genetic diversity; Ancient DNA; Demographic history; Population genetics; Natural selection; Genetic drift; Apportionment; Geography; Demography; 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":[0.001995175,0.0002663702,0.0005064367,0.00154118,0.0004769748,0.001224004,0.0005399938,0.0005273575,0.00368395],"category_scores_gemma":[0.007009808,0.0002663679,0.0003976247,0.001538502,0.001191361,0.0008704972,0.001022418,0.0005030377,0.0003155268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005798502,"about_ca_system_score_gemma":0.0002738992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004322297,"about_ca_topic_score_gemma":0.003725335,"domain_scores_codex":[0.9991886,0.0003067976,0.00002762917,0.0002952194,0.0001091871,0.00007254257],"domain_scores_gemma":[0.9976943,0.001277067,0.0003105057,0.0003788234,0.0002001992,0.0001390612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005021953,0.0001042544,0.7965069,0.0001461545,0.0007973789,0.000704925,0.001477967,0.1152903,0.02468529,0.01973175,0.001669368,0.03838343],"study_design_scores_gemma":[0.00003594319,0.0001326097,0.7283584,0.00005858264,0.0002220822,0.0008120671,0.001076252,0.216718,0.007174677,0.0416353,0.003678541,0.00009757113],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886082,0.0002599861,0.00847775,0.0002433016,0.00001041228,0.00000709371,0.0005741948,0.00006804525,0.001750997],"genre_scores_gemma":[0.9973401,0.000124507,0.001629052,0.00004673952,0.000009071306,0.000009222431,0.0004145051,0.00002049462,0.0004064107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004322297,"threshold_uncertainty_score":0.01232404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02006141126915231,"score_gpt":0.2383407123581687,"score_spread":0.2182793010890164,"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."}}