{"id":"W2753482895","doi":"10.1093/ofid/ofx163.269","title":"The Role of Whole Genome Sequencing in Defining Institutional Influenza Outbreaks","year":2017,"lang":"en","type":"article","venue":"Open Forum Infectious Diseases","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Public Health; Public Health Ontario; University of Toronto","funders":"","keywords":"Outbreak; Medicine; Virology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01089711,0.0005267858,0.0004847437,0.002043898,0.0006388199,0.001725093,0.000957803,0.0006258353,0.0006038671],"category_scores_gemma":[0.02444744,0.0002890209,0.0002831365,0.001486269,0.0006629766,0.00131562,0.001188091,0.0008131783,0.0001418563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009860026,"about_ca_system_score_gemma":0.001736809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03088896,"about_ca_topic_score_gemma":0.07948336,"domain_scores_codex":[0.9958816,0.002014435,0.0005337744,0.0005459705,0.0006172818,0.0004069315],"domain_scores_gemma":[0.9816464,0.006317376,0.004030274,0.002561835,0.004275078,0.001169214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002151491,0.00002738622,0.9659404,0.0001554108,0.00009783857,0.0002006958,0.0005302487,0.0009301967,0.004487864,0.0002131487,0.001178115,0.02602358],"study_design_scores_gemma":[0.000008828878,0.000129174,0.9861251,0.0002135572,0.00008727771,0.0006110511,0.00111934,0.005486489,0.002396605,0.0005500923,0.003245349,0.00002707381],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9729465,0.004111695,0.01597252,0.0008327835,0.0001097104,0.0002053627,0.00231525,0.00009994149,0.003406206],"genre_scores_gemma":[0.9792399,0.0008706105,0.01747518,0.0003787074,0.00004112777,0.0000552557,0.001691226,0.00003195461,0.0002160369],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03088896,"threshold_uncertainty_score":0.06141835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04803487361653343,"score_gpt":0.3673636581547881,"score_spread":0.3193287845382547,"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."}}