{"id":"W2725508712","doi":"10.1002/ajhb.23032","title":"Analysis of admixture proportions in seven geographical regions of the state of Guerrero, Mexico","year":2017,"lang":"en","type":"article","venue":"American Journal of Human Biology","topic":"Forensic and Genetic Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Amorfix (Canada); University of Toronto","funders":"Consejo Nacional de Ciencia y Tecnología","keywords":"Geography; Indigenous; Population; Human settlement; Demography; Ethnology; Archaeology; Biology; Ecology; History; Sociology","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":[0.000589447,0.0001481861,0.0001961658,0.001349409,0.0005144412,0.0004003723,0.0002136868,0.0001418601,0.0007021597],"category_scores_gemma":[0.001089226,0.00007636542,0.0001945379,0.001152619,0.0001980595,0.00008443782,0.0003505375,0.0001302517,0.00005088585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003223154,"about_ca_system_score_gemma":0.0002134471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02556915,"about_ca_topic_score_gemma":0.03468381,"domain_scores_codex":[0.9997182,0.00009163017,0.00001812384,0.0001024089,0.00003573318,0.00003385383],"domain_scores_gemma":[0.9995722,0.0001042283,0.000197943,0.00004176416,0.0000573058,0.00002652864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001350273,0.00001556892,0.9897009,0.00002035643,0.0001299375,0.00007511502,0.0005913736,0.0002486293,0.001163403,0.00009628987,0.00008512589,0.007738204],"study_design_scores_gemma":[0.000003039742,0.00001579476,0.9989861,0.000008202772,0.00003754144,0.00003926239,0.0002288674,0.0002141113,0.0001086312,0.00002121743,0.0003357278,0.000001491794],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991898,0.0001096152,0.0001972854,0.000009279031,8.65115e-7,0.00000506417,0.0001954765,0.000003251673,0.0002894545],"genre_scores_gemma":[0.9988134,0.00009093829,0.0005005031,0.000004321724,0.000001871659,0.00001418238,0.0004484313,0.000001535971,0.0001248167],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02556915,"threshold_uncertainty_score":0.05084062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01473172433259557,"score_gpt":0.3316746301371057,"score_spread":0.3169429058045102,"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."}}