{"id":"W1971999078","doi":"10.1016/j.ijfoodmicro.2013.05.028","title":"Rapid detection and identification of Bacillus anthracis in food using pyrosequencing technology","year":2013,"lang":"en","type":"article","venue":"International Journal of Food Microbiology","topic":"Bacillus and Francisella bacterial research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Food Inspection Agency","funders":"Health Canada; Defence Research and Development Canada; Public Health Agency of Canada","keywords":"Bacillus anthracis; Pyrosequencing; Identification (biology); Microbiology; Food microbiology; Biology; Food science; Computational biology; Bacteria; Gene; Biochemistry; Genetics","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":[0.0009978042,0.0005862455,0.0006568963,0.0008086471,0.00037858,0.0006526666,0.0003468134,0.0008306254,0.0003193576],"category_scores_gemma":[0.001357545,0.0005362018,0.0003431814,0.0005013673,0.0004196321,0.0005362715,0.0005837081,0.001162263,0.000550455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002050374,"about_ca_system_score_gemma":0.0003805573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006902803,"about_ca_topic_score_gemma":0.001047964,"domain_scores_codex":[0.9986357,0.0001854486,0.00005545124,0.0002398361,0.000794233,0.00008921482],"domain_scores_gemma":[0.999402,0.000234931,0.00007201532,0.00005702256,0.0001837438,0.00005032569],"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":[0.00007990118,0.00004309186,0.0007419758,0.00004148739,0.00000531003,0.00002464569,0.0000259693,0.0002110354,0.9914832,0.00005880216,0.0000622099,0.007222378],"study_design_scores_gemma":[0.00002502699,0.0005669071,0.01880051,0.00003121667,0.00003913552,0.0004281709,0.00009722255,0.009981347,0.9667385,0.0005247177,0.00274168,0.00002557532],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9112493,0.002818926,0.08086282,0.0003068754,0.0001453458,0.0001439649,0.001851604,0.0004525866,0.002168468],"genre_scores_gemma":[0.8874002,0.002103124,0.1031219,0.0002271676,0.00008740471,0.0002050284,0.003117213,0.00006281924,0.003675183],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0009978042,"threshold_uncertainty_score":0.005276978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01412584929881991,"score_gpt":0.2593615734303836,"score_spread":0.2452357241315637,"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."}}