{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002785524,0.0001780188,0.0004170308,0.0001295184,0.0000563089,0.000008981234,0.0003354044,0.0001094335,0.0001797502],"category_scores_gemma":[0.00008612012,0.0001687475,0.00004319541,0.0002971321,0.00008814588,0.0001533024,0.00005380743,0.0001960916,0.00010842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005789202,"about_ca_system_score_gemma":0.0005405612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002804486,"about_ca_topic_score_gemma":0.004573656,"domain_scores_codex":[0.9982222,0.0001465678,0.0005586255,0.0003994167,0.0003370488,0.0003361431],"domain_scores_gemma":[0.9970642,0.00003140562,0.0002363993,0.001940021,0.0004613233,0.0002666893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001186737,0.0008544546,0.2733398,0.003651395,0.0003024295,0.0001532854,0.04111666,5.817627e-7,0.0008396618,0.002445288,0.006421542,0.6696882],"study_design_scores_gemma":[0.00416558,0.003576242,0.8757771,0.001079146,0.0001753666,0.00005169143,0.0066559,0.0003224401,0.0002330142,0.0008330539,0.1064755,0.000654968],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9468907,0.01017257,0.00219891,0.01705997,0.003025039,0.003836348,0.008640413,0.001050781,0.007125316],"genre_scores_gemma":[0.9945797,0.0001373335,0.001750019,0.00168931,0.0001677079,0.00002089346,0.001431843,0.00004800729,0.000175209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6690332,"threshold_uncertainty_score":0.6881323,"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."}}