{"id":"W2063496566","doi":"10.1038/nbt.2380","title":"Innovative drugs and vaccines in China, India and Brazil","year":2012,"lang":"en","type":"letter","venue":"Nature Biotechnology","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network; University of Toronto; Asia Pacific Foundation of Canada","funders":"University of Toronto; University Health Network; Asia Pacific Foundation of Canada; Canadian Institutes of Health Research; Genome Canada; Ontario Genomics; Ontario Genomics Institute","keywords":"China; Virology; Drug approval; Drug industry; Business; Medicine; Biotechnology; Biology; Political science; Drug; Pharmacology; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0001843265,0.0004479338,0.0008201387,0.001584732,0.00007076851,0.000008945817,0.0002007752,0.097652,0.0000459115],"category_scores_gemma":[0.0002023593,0.0003509086,0.00004246371,0.001139,0.0006504556,0.0000562905,0.0002942483,0.05278465,0.00001424028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005521694,"about_ca_system_score_gemma":0.00007022885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002416556,"about_ca_topic_score_gemma":0.000007290836,"domain_scores_codex":[0.9982437,0.000039944,0.0003405091,0.0006646733,0.00013822,0.0005729281],"domain_scores_gemma":[0.9991257,0.00007661935,0.0001831713,0.0005107497,0.00006066806,0.00004315916],"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":[0.0001861169,0.0001192608,0.01356372,0.00073752,0.0005410729,0.001635363,0.0004484111,9.62512e-9,0.00301029,0.01243391,0.9117962,0.05552809],"study_design_scores_gemma":[0.001567371,0.0002508351,0.04521172,0.0002967773,0.0001243236,0.0014947,0.00005576899,0.00000208932,0.005234885,0.001118816,0.9442207,0.0004220244],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.06892955,0.02762846,0.00000512072,0.9010305,0.0005572729,0.0004566038,0.000017675,0.0002985915,0.001076255],"genre_scores_gemma":[0.3696332,0.01004964,0.0008176832,0.6166187,0.00110736,0.00003494619,0.0002233363,0.00008971763,0.00142541],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.3007037,"threshold_uncertainty_score":0.9998943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002857847044641376,"score_gpt":0.2424039768777264,"score_spread":0.2395461298330851,"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."}}