{"id":"W6930597551","doi":"10.5281/zenodo.15684053","title":"Prediction of Genetic Relatedness of Escherichia coli Using Long-Read Sequencing Paired with Neighbour Typing: A Tool for Rapid Antibiotic-Resistant Organism Outbreak Detection - Updated E. coli database","year":2025,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Atherosclerosis and Cardiovascular Diseases","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital","funders":"","keywords":"Outbreak; Escherichia coli; Metadata; Multilocus sequence typing; Enterobacteriaceae; Pathogenicity","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001903019,0.001162419,0.001203653,0.002971175,0.0005316995,0.001462,0.002070663,0.001212826,0.009511657],"category_scores_gemma":[0.005524841,0.0005170226,0.001126233,0.003636284,0.0002438661,0.0006348729,0.001581998,0.001108681,0.01061967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008642013,"about_ca_system_score_gemma":0.001482145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007641884,"about_ca_topic_score_gemma":0.01380886,"domain_scores_codex":[0.9987898,0.0002309468,0.000218483,0.0004549063,0.0001850494,0.0001208268],"domain_scores_gemma":[0.9984334,0.0005373189,0.0002175264,0.0003902222,0.0002672693,0.0001541747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001492871,0.0002288166,0.04958213,0.005834955,0.0008453699,0.0005282796,0.0001869069,0.005456674,0.003884995,0.002035938,0.8961377,0.03378522],"study_design_scores_gemma":[0.001074279,0.0001856424,0.08998764,0.001160504,0.0005531154,0.0009818799,0.0002982284,0.007026859,0.004549801,0.004191287,0.889846,0.0001447357],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002945464,0.0002144998,0.0005298387,0.00005467754,0.00002334166,0.00002344593,0.9953939,0.0004084899,0.0004063333],"genre_scores_gemma":[0.001768203,0.00006507781,0.001035221,0.00002285292,0.000003472453,0.00005313503,0.996875,0.00003528306,0.0001417158],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.009511657,"threshold_uncertainty_score":0.03181964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03219847758656047,"score_gpt":0.2246079023105547,"score_spread":0.1924094247239942,"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."}}