{"id":"W2790639460","doi":"10.6028/nist.sp.1097","title":"Accelerating innovation in 21st century biosciences :","year":2009,"lang":"en","type":"report","venue":"","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Lawrence Berkeley National Laboratory; National Institute of Biomedical Imaging and Bioengineering; National Institute of Arthritis and Musculoskeletal and Skin Diseases; Partenariat Canadien Contre Le Cancer; Agricultural Research Service; University of California, San Francisco; U.S. Forest Service; U.S. Geological Survey; National Centers for Coastal Ocean Science; National Oceanic and Atmospheric Administration; U.S. Food and Drug Administration; National Institutes of Health; United Soybean Board; Johns Hopkins University; Brandeis University; Archer Daniels Midland; Biogen; School of Medicine, Stanford University; National Institute of Standards and Technology; Genentech; U.S. Environmental Protection Agency; Industrial Technology Research Institute; Georgia State University; U.S. Department of Agriculture; University of North Carolina at Chapel Hill; U.S. Department of Energy; National Science Foundation","keywords":"Data science; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004192697,0.001268888,0.0004004345,0.001476411,0.001490995,0.003330223,0.001315817,0.008409529,0.01529742],"category_scores_gemma":[0.004925274,0.000316627,0.0008696172,0.001053447,0.0005921597,0.002248394,0.001780242,0.003982355,0.005562455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001980796,"about_ca_system_score_gemma":0.02871644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02208133,"about_ca_topic_score_gemma":0.05169374,"domain_scores_codex":[0.9970392,0.0002776299,0.0001396125,0.0001275754,0.001660065,0.0007559418],"domain_scores_gemma":[0.9955418,0.0008318537,0.0002227496,0.0002461708,0.001776746,0.001380704],"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":[0.0004769432,0.0009028437,0.003832973,0.0005914543,0.00003741519,0.0008448358,0.0001378362,0.0005994954,0.003592922,0.008138763,0.9023399,0.07850473],"study_design_scores_gemma":[0.0001538367,0.0003283055,0.008924987,0.0001486597,0.0000603774,0.0004869763,0.0003291043,0.0004973934,0.009340342,0.001026672,0.9786752,0.00002809339],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.05614238,0.02421226,0.008858662,0.1518424,0.04504265,0.004229981,0.01594324,0.002517238,0.6912112],"genre_scores_gemma":[0.07955954,0.03099415,0.02687426,0.05534802,0.006745669,0.001333527,0.009581217,0.0002843865,0.7892792],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02208133,"threshold_uncertainty_score":0.05117494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04812364828302703,"score_gpt":0.3250820017446941,"score_spread":0.2769583534616671,"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."}}