{"id":"W2081167062","doi":"10.1038/nrg2443","title":"Universal health care, genomic medicine and Thailand: investing in today and tomorrow","year":2008,"lang":"en","type":"review","venue":"Nature Reviews Genetics","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre for Global Health Research; Discovery Centre; University Health Network","funders":"Inyuvesi Yakwazulu-Natali; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Thailand Center of Excellence for Life Sciences; African Union; Yale University","keywords":"Genomic medicine; Excellence; Pharmacogenomics; Precision medicine; Diversity (politics); Health care; Genotyping; Biology; Personalized medicine; Population; Genomics; Biotechnology; Genetics; Medicine; Computational biology; Economic growth; Environmental health; Political science; Genome; Genotype","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":[0.001824647,0.0007751948,0.001232163,0.001231039,0.0004958322,0.002621478,0.0008761373,0.003716152,0.005274915],"category_scores_gemma":[0.002104861,0.0002153679,0.0002817766,0.00330561,0.002352535,0.00438642,0.001483095,0.003463489,0.001290084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002174602,"about_ca_system_score_gemma":0.005772609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004368925,"about_ca_topic_score_gemma":0.01139075,"domain_scores_codex":[0.9995434,0.0001459017,0.00004553435,0.00006549253,0.0001330171,0.00006668439],"domain_scores_gemma":[0.9985316,0.0008296412,0.0001457659,0.00003302553,0.0002048853,0.0002550618],"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":[0.00008499899,0.00005919371,0.0004568179,0.005924012,0.00004598173,0.0003167292,0.0001929651,0.0002006818,0.000458288,0.02006884,0.09630978,0.8758818],"study_design_scores_gemma":[0.00002036093,0.00003668664,0.0009827827,0.005289988,0.00003806736,0.0009264539,0.0004265676,0.00004117504,0.0001115645,0.006843606,0.9852656,0.00001732237],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00008444455,0.9913375,0.00006948903,0.006319263,0.0008322964,0.000001021445,0.00000577404,0.000005038014,0.001345034],"genre_scores_gemma":[0.0008871211,0.9944671,0.0001465745,0.002914907,0.0006291546,0.000002614732,0.00000857121,0.000001456498,0.0009425221],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005274915,"threshold_uncertainty_score":0.01764637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03984948018478891,"score_gpt":0.351738273195403,"score_spread":0.3118887930106141,"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."}}