{"id":"W1970322322","doi":"10.12927/hcq.2011.22641","title":"Influenza Immunization Data: Can We Make Order Out of Chaos?","year":2011,"lang":"en","type":"article","venue":"Healthcare Quarterly","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario","funders":"","keywords":"Immunization; CHAOS (operating system); Order (exchange); Best practice; Medicine; Virology; Computer science; Business; Political science; Immunology; Computer security; Immune system; Law","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":[0.08233276,0.00124573,0.002356653,0.006888907,0.003828248,0.01795488,0.004430857,0.005670381,0.006422081],"category_scores_gemma":[0.2763917,0.001577715,0.001260166,0.007335469,0.01016096,0.04625669,0.009343479,0.01572123,0.003442217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004590777,"about_ca_system_score_gemma":0.01398251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0169605,"about_ca_topic_score_gemma":0.02153013,"domain_scores_codex":[0.9683241,0.01818608,0.003032859,0.002188244,0.00717837,0.001090362],"domain_scores_gemma":[0.8041784,0.1266243,0.009377171,0.02029603,0.03129986,0.008224116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001441643,0.00007780775,0.03002019,0.001521109,0.0003666355,0.0001883308,0.003426766,0.002118423,0.0002239089,0.1054197,0.5754583,0.2810346],"study_design_scores_gemma":[0.00005920521,0.00006547248,0.007548867,0.003727202,0.0001052683,0.000195316,0.006634952,0.004447,0.0002270332,0.4493973,0.5274175,0.0001748507],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.002548479,0.018544,0.01142154,0.9553342,0.005405745,0.00005539647,0.002204928,0.0002532983,0.004232402],"genre_scores_gemma":[0.3060274,0.1415406,0.1472616,0.3477433,0.0386555,0.0007072231,0.010075,0.001218305,0.006771274],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08233276,"threshold_uncertainty_score":0.4354225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0899818188699059,"score_gpt":0.3496397347605576,"score_spread":0.2596579158906517,"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."}}