{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003397728,0.0005712239,0.0008005324,0.0005046858,0.006590646,0.004137151,0.00145609,0.06217605,0.003603521],"category_scores_gemma":[0.009544873,0.0006612615,0.001184907,0.0006936702,0.003042107,0.002457444,0.002559977,0.02625228,0.0006351818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01106076,"about_ca_system_score_gemma":0.00924969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06417404,"about_ca_topic_score_gemma":0.1880948,"domain_scores_codex":[0.9973635,0.0006570857,0.0002375041,0.0003221497,0.0005564467,0.0008632892],"domain_scores_gemma":[0.9953732,0.002799965,0.0004164086,0.0000868776,0.0003654298,0.0009581555],"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":[0.0005813532,0.0002392761,0.01085952,0.0004087745,0.0001350221,0.0538947,0.004701519,0.0004633654,0.002213354,0.06404327,0.827557,0.03490287],"study_design_scores_gemma":[0.0003372053,0.0001761601,0.007323341,0.0005969807,0.0001996917,0.008603355,0.006116333,0.0010897,0.001363397,0.02265341,0.9514155,0.0001248374],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.006581983,0.003320188,0.0001019215,0.9740357,0.005505055,0.00002720261,0.00002994956,0.000006061115,0.01039195],"genre_scores_gemma":[0.04395578,0.002655125,0.0001893333,0.9211088,0.01075045,0.00004552393,0.0000132762,0.00001775792,0.02126393],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.06417404,"threshold_uncertainty_score":0.127601,"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."}}