{"id":"W2148735438","doi":"10.1038/nbt1204supp-dc13","title":"Health biotechnology in China—reawakening of a giant","year":2004,"lang":"en","type":"article","venue":"Nature Biotechnology","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":51,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"University of Toronto; Canadian Institutes of Health Research; Genome Canada; Ontario Genomics; Rockefeller Foundation; Ontario Genomics Institute; Bill and Melinda Gates Foundation","keywords":"China; Beijing; Genomics; Genome; Biotechnology; Personal genomics; Human genome; Biology; Library science; Genetics; Political science; Gene; Computer science; Law","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003391836,0.0006702988,0.0004950523,0.00119224,0.00442743,0.003805005,0.0007855839,0.004890947,0.005954867],"category_scores_gemma":[0.002010614,0.0002131766,0.0007692109,0.001586413,0.003874793,0.002681993,0.003315234,0.002782018,0.000491911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01028424,"about_ca_system_score_gemma":0.04034472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.047488,"about_ca_topic_score_gemma":0.07749875,"domain_scores_codex":[0.9986559,0.0001485835,0.00005773837,0.0001196265,0.0003491283,0.0006689243],"domain_scores_gemma":[0.9980193,0.0001698974,0.0001467627,0.00008851358,0.0003025985,0.001272865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001283108,0.0004735028,0.04102271,0.001508264,0.0003416812,0.005403244,0.008078502,0.001854067,0.01578207,0.3230481,0.3712739,0.2299308],"study_design_scores_gemma":[0.0003550101,0.0004472425,0.08858124,0.0002686236,0.000119237,0.0005061758,0.005209624,0.00181088,0.00265003,0.05001422,0.8499274,0.0001102495],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2785513,0.03477913,0.002623301,0.5940171,0.008681289,0.000150964,0.0004945274,0.0003463575,0.08035599],"genre_scores_gemma":[0.8219618,0.01334266,0.002726255,0.09840456,0.003018833,0.00008181771,0.0002839151,0.00005614568,0.06012398],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.047488,"threshold_uncertainty_score":0.09442317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004102505607317004,"score_gpt":0.2626371215122317,"score_spread":0.2585346159049147,"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."}}