{"id":"W2898666924","doi":"10.1128/mra.01232-18","title":"Complete Genome and Plasmid Sequences of 32 Salmonella enterica Strains from 30 Serovars","year":2018,"lang":"en","type":"article","venue":"Microbiology Resource Announcements","topic":"Salmonella and Campylobacter epidemiology","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada","funders":"Public Health Agency; Public Health Agency of Canada; Oxford Nanopore Technologies","keywords":"Salmonella enterica; Serotype; Genome; Biology; Salmonella; Plasmid; In silico; Genetics; Genomics; Computational biology; Comparative genomics; Gene; Virology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005643917,0.00118984,0.0007754604,0.00287593,0.0006069066,0.000570717,0.0005575542,0.0005897051,0.00578423],"category_scores_gemma":[0.001719272,0.00050374,0.0007555791,0.004811606,0.0004475293,0.0006499704,0.0009049221,0.001101408,0.003601327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004123541,"about_ca_system_score_gemma":0.002460708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005431197,"about_ca_topic_score_gemma":0.004171298,"domain_scores_codex":[0.9995389,0.00006678115,0.00007871512,0.00009530345,0.0001310465,0.00008921328],"domain_scores_gemma":[0.9986342,0.0003408412,0.0002401931,0.0001837336,0.0003527789,0.0002482481],"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":[0.006357937,0.0006852092,0.0246464,0.004652815,0.0002142588,0.001600192,0.001941221,0.00216762,0.8071132,0.002048368,0.01411854,0.1344543],"study_design_scores_gemma":[0.0008606453,0.003563984,0.4981547,0.0007270256,0.0009116288,0.003730874,0.001929108,0.002598447,0.1360696,0.003952734,0.3471687,0.0003325859],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.4845657,0.004454434,0.02209943,0.0007595845,0.000326214,0.0008936088,0.4785786,0.0009914842,0.007331017],"genre_scores_gemma":[0.1365048,0.002205725,0.02601943,0.0001425937,0.00005750973,0.0004779105,0.8309678,0.0002056164,0.003418702],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.00578423,"threshold_uncertainty_score":0.01935023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03056132132970858,"score_gpt":0.2311946524292346,"score_spread":0.200633331099526,"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."}}