{"id":"W4404720494","doi":"10.2196/64969","title":"Public Health Data Exchange Through Health Information Exchange Organizations: National Survey Study","year":2024,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health information exchange; Public health; Descriptive statistics; Survey data collection; American Community Survey; Information exchange; Business; Demographics; Census; Health care; Medicine; Environmental health; Computer science; Population; Demography; Statistics; Economics; Nursing; Health information; Economic growth","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":[0.01353988,0.0004547578,0.001052281,0.000616642,0.0006760717,0.0007108066,0.00058518,0.0001264976,0.0003147197],"category_scores_gemma":[0.0038985,0.0004240866,0.00005242247,0.003523365,0.0001410368,0.003072175,0.0005607325,0.0005275391,0.0002160697],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009874089,"about_ca_system_score_gemma":0.0148771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002308229,"about_ca_topic_score_gemma":0.005865137,"domain_scores_codex":[0.9920531,0.002137902,0.001627715,0.001125566,0.001567644,0.001488091],"domain_scores_gemma":[0.9943449,0.0005119074,0.0005396692,0.001453194,0.001212476,0.001937861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005594753,0.0008201625,0.3535561,0.003931276,0.0001601295,0.000009360876,0.007740259,5.99393e-7,1.18926e-7,0.0007740378,0.4996985,0.1332535],"study_design_scores_gemma":[0.001094577,0.0005193381,0.414248,0.00006020192,7.233929e-7,0.00004231901,0.0007179262,0.001088566,9.230008e-9,0.00002360343,0.581974,0.0002306722],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.05442145,0.1189807,0.0216295,0.7110105,0.004614134,0.02230285,0.05595523,0.005299652,0.005785999],"genre_scores_gemma":[0.8610374,0.01146788,0.0007536627,0.04495084,0.0007471701,0.0004159762,0.08003753,0.0001197547,0.0004698082],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8066159,"threshold_uncertainty_score":0.9998211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1622025208714974,"score_gpt":0.3943952833184859,"score_spread":0.2321927624469885,"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."}}