{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007412003,0.0007126459,0.000594039,0.0009447532,0.000590787,0.0007952311,0.0007629915,0.0005195428,0.001240608],"category_scores_gemma":[0.00767853,0.000314047,0.000669518,0.0004957363,0.0004281192,0.001281526,0.0008691988,0.0002923384,0.0002556201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008449998,"about_ca_system_score_gemma":0.001459673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006652655,"about_ca_topic_score_gemma":0.005625793,"domain_scores_codex":[0.997318,0.001310336,0.0003465238,0.0003718218,0.0004307361,0.0002226265],"domain_scores_gemma":[0.9949723,0.001701915,0.0002293327,0.0003855732,0.002248134,0.0004626013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002273952,0.0092945,0.5635158,0.002811328,0.0004448363,0.002004501,0.02438303,0.004898035,0.05565574,0.0005603798,0.005271109,0.3288867],"study_design_scores_gemma":[0.000775229,0.02607774,0.8420488,0.0004760695,0.0008377861,0.001103135,0.02286017,0.06512718,0.0277423,0.0002858239,0.01238817,0.0002775386],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956564,0.00005367332,0.002816173,0.00006793917,0.000009767853,0.0007135766,0.0001369765,0.0001507041,0.0003948704],"genre_scores_gemma":[0.9804945,0.00015724,0.01714917,0.00007046493,0.00001270372,0.0007756404,0.000585344,0.00002360428,0.0007313081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007412003,"threshold_uncertainty_score":0.03919888,"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."}}