{"id":"W2368384259","doi":"","title":"Bibliometrical analysis on syndromic surveillance research","year":2013,"lang":"en","type":"article","venue":"Journal of Zhengzhou University","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Standardization; Web of science; Citation index; Science Citation Index; Data science; Citation; Library science; Computer science; Medicine; Political science; Pathology; Meta-analysis","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001434645,0.0001220134,0.0005859417,0.01108954,0.0001259602,0.0000411656,0.0003981328,0.00009108229,0.00100075],"category_scores_gemma":[0.0007439809,0.0001057353,0.000401053,0.01660046,0.0001555015,0.0003122888,0.0001115437,0.0006682617,0.0003593218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004021105,"about_ca_system_score_gemma":0.0002260943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001620666,"about_ca_topic_score_gemma":0.00001853901,"domain_scores_codex":[0.9976066,0.0004106846,0.0003057919,0.000227524,0.001107175,0.0003422087],"domain_scores_gemma":[0.9968421,0.0004931137,0.0002388943,0.000461579,0.001450843,0.0005134231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001170181,0.0008899337,0.8940929,0.00005560054,0.002566575,0.002155348,0.0001228275,0.0001756827,0.0008574781,0.0002534106,0.09221555,0.005444564],"study_design_scores_gemma":[0.001389362,0.0005531906,0.9816253,0.00003733611,0.0002383357,0.00008055232,0.0002371824,0.0002980234,0.00004896848,0.00005055217,0.01533476,0.0001064212],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932481,0.0001703132,0.0002467317,0.001460382,0.0001076947,0.0001583199,0.00004224082,0.00002714863,0.004539075],"genre_scores_gemma":[0.9979387,0.0002630925,0.0005640206,0.00008263684,0.0001106848,1.289299e-7,0.00001172712,0.00001078265,0.001018229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08753247,"threshold_uncertainty_score":0.9999124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0499838574173304,"score_gpt":0.3353502754258614,"score_spread":0.285366418008531,"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."}}