{"id":"W1965556555","doi":"10.1128/aem.05155-11","title":"Analysis of Clostridium botulinum Serotype E Strains by Using Multilocus Sequence Typing, Amplified Fragment Length Polymorphism, Variable-Number Tandem-Repeat Analysis, and Botulinum Neurotoxin Gene Sequencing","year":2011,"lang":"en","type":"article","venue":"Applied and Environmental Microbiology","topic":"Botulinum Toxin and Related Neurological Disorders","field":"Medicine","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Allergy and Infectious Diseases; Science and Technology Directorate; U.S. Public Health Service; Joint Genome Institute; California Department of Public Health; U.S. Department of Homeland Security; U.S. Department of Energy","keywords":"Multilocus sequence typing; Biology; Genetics; Clostridium botulinum; Amplified fragment length polymorphism; Botulism; Sequence analysis; Gene; Microbiology; Genotype; Genetic diversity; Toxin; Population","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001849475,0.0004052406,0.0009419353,0.0002329067,0.0001453186,0.00001049807,0.000129036,0.0004741069,0.0006103568],"category_scores_gemma":[0.000007228836,0.000344043,0.0001984737,0.0005716884,0.0006779491,0.00004421347,0.0001747752,0.0004270153,0.000008114106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008794376,"about_ca_system_score_gemma":0.00003115408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000384667,"about_ca_topic_score_gemma":0.00001281707,"domain_scores_codex":[0.9978194,0.0001023665,0.0006170401,0.0008600672,0.00009290354,0.0005082449],"domain_scores_gemma":[0.9990611,0.00005920545,0.0002747031,0.0003659644,0.000009306302,0.0002297163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001754217,0.0002240833,0.07521847,0.00001798724,0.002496045,0.00002170738,0.0002494742,0.0001591435,0.9207209,0.00003878863,0.00001308595,0.0006649111],"study_design_scores_gemma":[0.01372829,0.002153027,0.2032635,0.00009055457,0.04958662,0.001386593,0.002589257,0.01930082,0.7028297,0.0004791639,0.001375057,0.003217417],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996337,0.0005287525,0.001934417,0.00004305936,0.00005846203,0.0005081344,0.0002757062,0.00004050722,0.0002739746],"genre_scores_gemma":[0.9954467,0.001040295,0.002021628,0.0007585012,0.0000181073,0.00001584561,0.0005927274,0.00003162629,0.00007455982],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2178911,"threshold_uncertainty_score":0.9999012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02584595813198697,"score_gpt":0.2295113110848775,"score_spread":0.2036653529528906,"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."}}