{"id":"W2033918798","doi":"10.1038/nrg2442","title":"Genomics, public health and developing countries: the case of the Mexican National Institute of Genomic Medicine (INMEGEN)","year":2008,"lang":"en","type":"review","venue":"Nature Reviews Genetics","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":56,"is_retracted":false,"has_abstract":false,"ca_institutions":"Discovery Centre; University Health Network; University of Toronto","funders":"","keywords":"Genomics; Genomic medicine; Public health; Government (linguistics); Genotyping; Developing country; Precision medicine; Biology; Population; Disease; Population genomics; Resource (disambiguation); Genome; Genetics; Computational biology; Medicine; Genotype; Environmental health; Computer science","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":[0.001786502,0.001165537,0.001538088,0.002142617,0.0006997795,0.002286516,0.001328032,0.004573119,0.002910318],"category_scores_gemma":[0.001924039,0.0003498086,0.0004033293,0.004086117,0.001874149,0.003357939,0.001883782,0.004091023,0.001015584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002338618,"about_ca_system_score_gemma":0.004767899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01223506,"about_ca_topic_score_gemma":0.03100287,"domain_scores_codex":[0.9995905,0.0001272348,0.00003538321,0.0000554707,0.000128432,0.00006303032],"domain_scores_gemma":[0.9989993,0.0005718301,0.00008809135,0.00002868181,0.0001679312,0.000144133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006599395,0.00004254016,0.0004437494,0.005007129,0.00006448526,0.0009282684,0.0003496855,0.0002802139,0.0002913201,0.0254134,0.2002706,0.7668426],"study_design_scores_gemma":[0.000009763461,0.00001408883,0.000715574,0.002610784,0.00003002887,0.0010546,0.0002558994,0.00003301356,0.00004669455,0.004157697,0.9910603,0.00001157668],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00006298918,0.9936562,0.00009038724,0.004438305,0.0005988959,0.000001409655,0.000008163288,0.000005104506,0.001138615],"genre_scores_gemma":[0.0008309472,0.9954086,0.0002963296,0.002172329,0.0005363942,0.000003829406,0.00001193193,0.000002212234,0.0007374106],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01223506,"threshold_uncertainty_score":0.0243277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07591114038142495,"score_gpt":0.3782727512037523,"score_spread":0.3023616108223273,"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."}}