{"id":"W7100409831","doi":"","title":"Clinical Laboratory Response to a Mock Outbreak of Invasive Bacterial Infections: a Preparedness Study","year":2016,"lang":"en","type":"article","venue":"","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Outbreak; Preparedness; Transmission (telecommunications); Whole genome sequencing; Serotype; Phylogenetic tree","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008811247,0.0008115778,0.0006008241,0.000435307,0.001063278,0.001038213,0.0009486253,0.002121491,0.001228358],"category_scores_gemma":[0.03049362,0.0004361951,0.000553406,0.0002752227,0.0009911588,0.001418473,0.002079993,0.001157529,0.0003737465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001288038,"about_ca_system_score_gemma":0.001348699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001105828,"about_ca_topic_score_gemma":0.001289264,"domain_scores_codex":[0.9929236,0.00496426,0.0003795442,0.0005822588,0.0006144734,0.0005358017],"domain_scores_gemma":[0.9843801,0.006195752,0.002648201,0.002273185,0.002253846,0.002248843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.03663649,0.09824868,0.6888056,0.0009380758,0.0006157119,0.0105072,0.01989635,0.01415568,0.05374238,0.001620872,0.004765964,0.07006696],"study_design_scores_gemma":[0.00266277,0.3496585,0.5581213,0.000172862,0.0002125846,0.003312307,0.02611643,0.02442268,0.02537473,0.001853512,0.007703071,0.0003893285],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981981,0.00001741749,0.0005428252,0.0001838188,0.00001480904,0.0005384322,0.00003999974,0.00001764768,0.0004470047],"genre_scores_gemma":[0.9970018,0.00003507523,0.001746116,0.0003321061,0.00003556899,0.0005321654,0.000123866,0.000004935946,0.0001883567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008811247,"threshold_uncertainty_score":0.04659891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03234857483369902,"score_gpt":0.3544365392405628,"score_spread":0.3220879644068638,"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."}}