{"id":"W2915883351","doi":"10.2196/11615","title":"Social Media Surveillance for Outbreak Projection via Transmission Models: Longitudinal Observational Study","year":2019,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; Data mining; Data quality; Machine learning; Metric (unit); Projection (relational algebra); Leverage (statistics); Artificial intelligence; Algorithm","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002400071,0.0003873866,0.00100179,0.0002216847,0.0003804061,0.00009619762,0.0001965127,0.0001694798,0.00006688161],"category_scores_gemma":[0.0002949844,0.0003509786,0.0001665318,0.0006079811,0.00009404624,0.0004613581,0.00006496492,0.0003092092,0.00002106531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002388642,"about_ca_system_score_gemma":0.001346339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009149763,"about_ca_topic_score_gemma":0.0003589794,"domain_scores_codex":[0.995987,0.0004229067,0.0008551364,0.0009955195,0.0008126314,0.000926802],"domain_scores_gemma":[0.9972684,0.0004907824,0.0003384336,0.0004710903,0.0006005017,0.0008307621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001042532,0.000836697,0.922617,0.000830399,0.00008627848,0.000005046072,0.001653518,0.000007143971,0.00002618512,0.000363894,0.005366451,0.06716483],"study_design_scores_gemma":[0.005070561,0.000789872,0.9294183,0.00002454724,0.000002676274,0.0000273735,0.0004995346,0.01237703,4.305154e-7,0.0002184911,0.0512049,0.0003662453],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9689264,0.001004692,0.008112693,0.0128318,0.000551381,0.006814525,0.0005222894,0.0004704066,0.0007658347],"genre_scores_gemma":[0.9950084,0.0001173146,0.0006635047,0.001029174,0.0004924168,0.0005986713,0.00172779,0.00006446567,0.0002982342],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06679858,"threshold_uncertainty_score":0.9998942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1396317710019518,"score_gpt":0.3708583158334395,"score_spread":0.2312265448314877,"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."}}