{"id":"W6927245811","doi":"10.26091/esrnz.7905494","title":"PulseNet International: Vision for the implementation of whole genome sequencing (WGS) for global food-borne disease surveillance","year":2019,"lang":"en","type":"other","venue":"ESR Data and information Repository","topic":"Streptococcal Infections and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subtyping; Disease surveillance; Whole genome sequencing; Preparedness; Data quality; Outbreak; Transmission (telecommunications)","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":[0.04001489,0.001803978,0.0012732,0.005095067,0.0008495629,0.006240319,0.004546263,0.003925571,0.03830035],"category_scores_gemma":[0.03634554,0.001093476,0.001332292,0.004391103,0.001645837,0.006379461,0.00725953,0.006473734,0.03117284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002352698,"about_ca_system_score_gemma":0.01729491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008027023,"about_ca_topic_score_gemma":0.004333836,"domain_scores_codex":[0.9903599,0.004123592,0.0007805268,0.001009401,0.002829967,0.0008966318],"domain_scores_gemma":[0.9661253,0.006735282,0.002921041,0.003817144,0.01141538,0.008985752],"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":[0.0005212708,0.0001699446,0.002619082,0.001089378,0.00007264231,0.0001447132,0.0002906504,0.001259763,0.003831213,0.02150983,0.6967813,0.2717104],"study_design_scores_gemma":[0.0001119473,0.0001452149,0.003475458,0.0008665947,0.00002142888,0.0001021118,0.0001127553,0.001222028,0.001169258,0.01015739,0.9825806,0.00003517177],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.006339609,0.02000231,0.3748626,0.1091698,0.02587592,0.004957936,0.1691317,0.03357019,0.2560899],"genre_scores_gemma":[0.01874428,0.01553991,0.5455196,0.02463737,0.003079914,0.006247583,0.3123116,0.007831339,0.06608841],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04001489,"threshold_uncertainty_score":0.2116215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01841167346921225,"score_gpt":0.3310620967754307,"score_spread":0.3126504233062185,"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."}}