{"id":"W2000015108","doi":"10.1016/j.meegid.2011.09.021","title":"Identification of Salmonella enterica species- and subgroup-specific genomic regions using Panseq 2.0","year":2011,"lang":"en","type":"article","venue":"Infection Genetics and Evolution","topic":"Salmonella and Campylobacter epidemiology","field":"Agricultural and Biological Sciences","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Lethbridge; Public Health Agency of Canada","funders":"Alberta Innovates - Technology Futures; Public Health Agency of Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Food Inspection Agency","keywords":"Salmonella enterica; Identification (biology); Salmonella; Biology; Computational biology; Genetics; Microbiology; Bacteria","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001862198,0.00008893954,0.0001274914,0.00002613706,0.0001359883,0.0000150107,0.00004102125,0.00008968294,0.00004436829],"category_scores_gemma":[0.000009332313,0.00004798335,0.00004011945,0.0001233968,0.000119441,0.00004840042,0.00003745094,0.00004851213,0.000004635011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002930788,"about_ca_system_score_gemma":0.000003151878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004722053,"about_ca_topic_score_gemma":0.00009277122,"domain_scores_codex":[0.999239,0.00008236528,0.0002748167,0.0002165225,0.00005447389,0.0001328155],"domain_scores_gemma":[0.9996387,0.00003500933,0.0001642872,0.00005396592,0.00005616506,0.000051851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00001325902,0.00002602169,0.3489897,0.000003750947,0.000005965258,1.783902e-7,0.00007139748,0.000004817194,0.6475084,0.0005578676,0.00002618704,0.002792416],"study_design_scores_gemma":[0.00006436005,0.0001266752,0.9922271,0.000005499045,0.00001668548,0.00002891651,0.0000665254,0.0005693462,0.003387316,0.002175339,0.001242296,0.00008989975],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970802,0.000926604,0.001478641,0.00003211746,0.0001868288,0.000107159,0.000009730086,0.00002023599,0.0001584978],"genre_scores_gemma":[0.9972354,0.002482157,0.0001076765,0.00001349552,0.0001172205,0.000003562753,0.00001026779,0.000001129205,0.00002911225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6441211,"threshold_uncertainty_score":0.1956704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06544189592233075,"score_gpt":0.2282913986078002,"score_spread":0.1628495026854694,"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."}}