{"id":"W4404144371","doi":"10.1101/2024.11.06.622331","title":"Archaic Adaptive Introgression in Modern Human Reproductive Genes","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; Princess Margaret Cancer Centre; University Health Network; University of Toronto","funders":"","keywords":"Introgression; Gene; Evolutionary biology; Biology; Geography; Genetics","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":[0.0003104042,0.0002098563,0.0002583781,0.0008423927,0.0002277717,0.0002872317,0.0001943904,0.0002917328,0.002913358],"category_scores_gemma":[0.0005162656,0.0001068113,0.0003652335,0.0007325558,0.0004263422,0.0001561259,0.0004381726,0.0005493734,0.0001568438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001487776,"about_ca_system_score_gemma":0.00009069596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005067536,"about_ca_topic_score_gemma":0.0007622797,"domain_scores_codex":[0.9997731,0.00004298272,0.00001875882,0.00008524299,0.00004871277,0.00003123203],"domain_scores_gemma":[0.9996158,0.0001404264,0.000106484,0.00006100181,0.00003694041,0.00003934034],"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":[0.001003866,0.0001080597,0.3784403,0.0002115597,0.0007890822,0.00248129,0.0009084766,0.000843003,0.5828344,0.002424301,0.000359232,0.02959631],"study_design_scores_gemma":[0.00006270667,0.0002786167,0.9756882,0.00003479779,0.0002392923,0.003963333,0.0002219075,0.0008536288,0.01436715,0.001321051,0.002939417,0.00002988917],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967213,0.0004881333,0.001538697,0.00007064582,0.00001442721,0.000007802011,0.0002870545,0.00001678576,0.0008551689],"genre_scores_gemma":[0.9981281,0.0002114908,0.0008391416,0.00008706797,0.00002306348,0.000007453973,0.0002405756,0.00001012549,0.0004529837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002913358,"threshold_uncertainty_score":0.009746134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01698818084346832,"score_gpt":0.2328316673507949,"score_spread":0.2158434865073266,"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."}}