{"id":"W2146584798","doi":"10.1038/sj.embor.embor783","title":"Biotechnology to fight bioterrorism","year":2003,"lang":"en","type":"article","venue":"EMBO Reports","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biotechnology; Biological warfare; Biology; Business; Toxicology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004377145,0.0001569026,0.000160034,0.0001202872,0.00007805138,0.00002724314,0.0001715402,0.0003613828,0.0001367436],"category_scores_gemma":[0.0008994715,0.0001340235,0.00008440731,0.0001891897,0.0001168761,0.000002280632,0.0001495292,0.0001329664,0.0001229833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001672316,"about_ca_system_score_gemma":0.0001359487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001170642,"about_ca_topic_score_gemma":0.00001771144,"domain_scores_codex":[0.9984649,0.00003505429,0.0003886561,0.0003823174,0.0002769688,0.0004521476],"domain_scores_gemma":[0.9988449,0.00000691564,0.00008776459,0.0006949839,0.00009067806,0.0002747774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002751983,0.0001633096,0.002167325,0.00004942935,0.00008373515,0.0002850177,0.000126714,0.00001084575,0.838726,0.0003771957,0.1358824,0.02210044],"study_design_scores_gemma":[0.00008371187,0.0002131548,0.0003639952,0.000005572791,0.000003587573,0.0001920521,0.0000450088,0.000003909919,0.4237691,0.0002274157,0.5749612,0.0001313122],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9485354,0.0006568438,0.00980853,0.003548081,0.00146569,0.0005926519,0.00001268922,0.00007275084,0.03530733],"genre_scores_gemma":[0.9874285,0.0001944902,0.005275398,0.00117919,0.0001704119,0.00002427561,0.0000619737,0.00002241708,0.005643284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4390787,"threshold_uncertainty_score":0.546532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01255285635499086,"score_gpt":0.2753629914013977,"score_spread":0.2628101350464068,"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."}}