{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0110802,0.0003351715,0.0003803587,0.002849204,0.001362192,0.001553362,0.001465702,0.0009898952,0.003095968],"category_scores_gemma":[0.02400577,0.0007824397,0.0005649463,0.006918323,0.0007170034,0.003771538,0.002817058,0.002275781,0.0009682808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001930261,"about_ca_system_score_gemma":0.003086022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03237817,"about_ca_topic_score_gemma":0.03565389,"domain_scores_codex":[0.9896917,0.005476352,0.001513393,0.000790796,0.001462436,0.001065318],"domain_scores_gemma":[0.973525,0.007499322,0.01073066,0.002036905,0.0036825,0.002525609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003289097,0.0001885276,0.992234,0.00006373697,0.0000366304,0.00003818294,0.0020765,0.00003569028,0.00002293006,0.0001253915,0.002296532,0.002849105],"study_design_scores_gemma":[0.00002484064,0.0001520904,0.9805663,0.0001656637,0.0000351081,0.0001709823,0.0149955,0.0005170279,0.00006066518,0.0000968041,0.003197661,0.00001742089],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9851255,0.0003559199,0.0005462289,0.001357317,0.00002139956,0.0004441826,0.009003736,0.00001620159,0.003129461],"genre_scores_gemma":[0.9907018,0.0005801362,0.0009125479,0.0009550732,0.00002523959,0.0007140419,0.005576984,0.00001357492,0.0005205368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03237817,"threshold_uncertainty_score":0.06437939,"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."}}