{"id":"W4403323147","doi":"10.1017/ash.2024.283","title":"Whole Genome Sequencing for the Identification of a Streptococcus agalactiae Outbreak in Neonatal Intensive Care Unit","year":2024,"lang":"en","type":"article","venue":"Antimicrobial Stewardship & Healthcare Epidemiology","topic":"Neonatal and Maternal Infections","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada; Sinai Health System","funders":"","keywords":"Streptococcus agalactiae; Neonatal intensive care unit; Outbreak; Identification (biology); Whole genome sequencing; Intensive care unit; Microbiology; Biology; Streptococcus; Genome; Computational biology; Medicine; Virology; Genetics; Intensive care medicine; Pediatrics; Gene; Bacteria","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001201971,0.000216908,0.0006585298,0.0002554783,0.0001396735,0.00001376344,0.0001476261,0.0002409431,0.00001996728],"category_scores_gemma":[0.001240899,0.000160277,0.0002680296,0.000345892,0.0002176414,0.000104422,0.00008371074,0.000531893,0.0000360784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00032808,"about_ca_system_score_gemma":0.0005064332,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008094817,"about_ca_topic_score_gemma":0.002917541,"domain_scores_codex":[0.997494,0.000300625,0.001136513,0.0004887005,0.000087671,0.0004924809],"domain_scores_gemma":[0.9971535,0.001369355,0.0002561408,0.0003618981,0.0007454468,0.0001137227],"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":[0.00218767,0.0001273614,0.2575657,0.0215314,0.00107783,0.0004248722,0.04187616,0.001792842,0.553997,0.02314622,0.003271617,0.09300123],"study_design_scores_gemma":[0.005037589,0.004011102,0.6337844,0.005911653,0.001097941,0.002706833,0.05714924,0.004496229,0.06813474,0.007297591,0.208841,0.001531692],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9507667,0.01083461,0.004846852,0.02822533,0.00175646,0.002368858,0.001021932,0.0001300557,0.00004915108],"genre_scores_gemma":[0.9951156,0.0003718349,0.0001440126,0.003180607,0.0003125114,0.000153356,0.0004339989,0.00003697478,0.0002510625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4858623,"threshold_uncertainty_score":0.9985104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08034471636651674,"score_gpt":0.3787721877506056,"score_spread":0.2984274713840888,"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."}}