{"id":"W4323305631","doi":"10.2196/preprints.46810","title":"Digital Health Dashboards for Decision-Making to Enable Rapid Responses During Public Health Crises: Replicable and Scalable Methodology (Preprint)","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lawson Health Research Institute; Western University","funders":"","keywords":"Digital health; Big data; Public health; Dashboard; Analytics; Public health surveillance; Health care; Business; Public relations; Computer science; Knowledge management; Data science; Political science; Medicine; Nursing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.008850112,0.0006896751,0.002441021,0.001128442,0.0005018561,0.0005392316,0.0006732886,0.0003809783,0.0003022884],"category_scores_gemma":[0.03246664,0.0006593305,0.0003743961,0.0006895464,0.0001492555,0.0003231651,0.004078984,0.000815217,0.0001340605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001013528,"about_ca_system_score_gemma":0.004168885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005663875,"about_ca_topic_score_gemma":0.0002127353,"domain_scores_codex":[0.9918057,0.0007507342,0.001798877,0.00300277,0.0008291367,0.001812758],"domain_scores_gemma":[0.9881588,0.005523095,0.0007033499,0.003325548,0.0006119184,0.001677318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01191486,0.0009180708,0.03313607,0.01586585,0.001275687,0.0002003631,0.001842569,0.001023128,0.0002638065,0.0009282538,0.3194915,0.6131399],"study_design_scores_gemma":[0.01030417,0.004697342,0.1939239,0.01836625,0.0002256684,0.0008445437,0.005942044,0.003836584,0.0007001944,0.02581467,0.7311623,0.004182295],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2789284,0.008340378,0.568557,0.09609525,0.003115747,0.02281994,0.01045625,0.005711622,0.005975443],"genre_scores_gemma":[0.2867516,0.003765894,0.6645546,0.01624855,0.001021135,0.003144978,0.001743391,0.000691434,0.02207843],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6089576,"threshold_uncertainty_score":0.9995858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.190181506600012,"score_gpt":0.4371494023185422,"score_spread":0.2469678957185302,"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."}}