{"id":"W4292485398","doi":"10.2196/37177","title":"Pilot Influenza Syndromic Surveillance System Based on Absenteeism and Temperature in China: Development and Usability Study","year":2022,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Absenteeism; Medicine; Attendance; China; Public health; Workload; Family medicine; Biostatistics; Environmental health; Demography; Nursing; Psychology; Geography; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004570932,0.0004285313,0.001076181,0.0003526224,0.0005835003,0.0001145919,0.000184319,0.00006205779,0.0000233358],"category_scores_gemma":[0.0004131808,0.0003990567,0.00003871464,0.0007199541,0.0001456288,0.0001292192,0.0002740558,0.0007120672,0.000003722723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006724218,"about_ca_system_score_gemma":0.001391602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003795329,"about_ca_topic_score_gemma":0.0008825661,"domain_scores_codex":[0.9948995,0.001425822,0.000929772,0.001166784,0.0007337059,0.0008444737],"domain_scores_gemma":[0.99756,0.0003362757,0.0002598504,0.0007451039,0.00009335728,0.001005395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007253804,0.0009830444,0.9912732,0.001133047,0.00002994831,0.0001016624,0.0009140357,0.00001870406,0.000008899957,0.00005999854,0.000551173,0.004200948],"study_design_scores_gemma":[0.005138646,0.00158418,0.9752725,0.00006516671,8.412887e-7,0.0001056557,0.001301669,0.001144063,2.634221e-7,0.000002078869,0.01504958,0.0003353953],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917876,0.001663783,0.000004050331,0.002782198,0.0002087969,0.002793194,0.0002875124,0.0002130931,0.0002597954],"genre_scores_gemma":[0.9962204,0.00004252726,0.00009810742,0.002623225,0.00004671489,0.0006592745,0.0002101091,0.00004518842,0.00005450607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0160007,"threshold_uncertainty_score":0.9998462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02602549372333889,"score_gpt":0.3002684511390839,"score_spread":0.274242957415745,"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."}}