{"id":"W4386961589","doi":"10.1111/irv.13201","title":"Lessons learned from identifying clusters of severe acute respiratory infections with influenza sentinel surveillance, Bangladesh, 2009–2020","year":2023,"lang":"en","type":"article","venue":"Influenza and Other Respiratory Viruses","topic":"Respiratory viral infections research","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Global Health Research","funders":"Centers for Disease Control and Prevention","keywords":"Outbreak; Human metapneumovirus; Medicine; Cluster (spacecraft); Virology; Metapneumovirus; Virus; Influenza A virus; Influenza A virus subtype H5N1; Respiratory system; Respiratory tract infections; Internal medicine","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":[0.006704933,0.0006481558,0.0004675624,0.0008879619,0.0004194455,0.001665159,0.001296573,0.001181515,0.001934515],"category_scores_gemma":[0.02036709,0.0003530508,0.000421674,0.001101357,0.0007737443,0.002531641,0.00152379,0.0009124324,0.000499277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002092815,"about_ca_system_score_gemma":0.003257291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06601153,"about_ca_topic_score_gemma":0.09565619,"domain_scores_codex":[0.9974709,0.001277186,0.000340602,0.0003933577,0.0002629569,0.0002551677],"domain_scores_gemma":[0.9941447,0.001804147,0.0008656702,0.0004107076,0.001585133,0.001189561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001823564,0.00006176005,0.8600077,0.000709934,0.000120054,0.0005111995,0.003325895,0.001175998,0.0003996495,0.0005280096,0.01667564,0.1163018],"study_design_scores_gemma":[0.0001228281,0.0006783815,0.9129115,0.00410554,0.0002435157,0.001193118,0.0296082,0.007798275,0.0005518228,0.006171927,0.03648958,0.0001253541],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7786772,0.03239679,0.008396922,0.1493668,0.001319141,0.0004172973,0.005762326,0.0002510969,0.02341248],"genre_scores_gemma":[0.9736137,0.009088487,0.009604471,0.004656577,0.0004637637,0.0001584322,0.001514074,0.00003316466,0.0008672713],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06601153,"threshold_uncertainty_score":0.1312546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2267364905190948,"score_gpt":0.4348173031409965,"score_spread":0.2080808126219017,"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."}}