{"id":"W2611761054","doi":"10.5210/ojphi.v9i1.7684","title":"Facilitating Public Health Action through Surveillance Dashboards","year":2017,"lang":"en","type":"article","venue":"Online Journal of Public Health Informatics","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health Services","funders":"","keywords":"Dashboard; Computer science; Stakeholder; Flexibility (engineering); Process (computing); Knowledge management; Public health surveillance; Public health; Process management; Data science; Medicine; Business; Public relations; 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":[0.01007237,0.0003039178,0.001216392,0.0003430453,0.0008302307,0.0004199794,0.0007423867,0.0001242438,0.00008810374],"category_scores_gemma":[0.0106347,0.0002535321,0.0002523779,0.0003064982,0.0002106023,0.003468636,0.0001915497,0.0009741446,0.00003828627],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000985019,"about_ca_system_score_gemma":0.008186555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001347842,"about_ca_topic_score_gemma":0.0002234281,"domain_scores_codex":[0.9934208,0.0004217014,0.003480243,0.0001598437,0.001391725,0.001125656],"domain_scores_gemma":[0.9887321,0.0002503852,0.006693836,0.00118037,0.0015474,0.001595894],"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":[0.00007744704,0.0008874353,0.07594817,0.00320615,0.000295034,0.00002273373,0.008043053,0.00003272384,0.000006032893,0.0004713949,0.05088242,0.8601274],"study_design_scores_gemma":[0.003334816,0.001177341,0.2038689,0.0004313359,0.000009214166,0.0005479988,0.007587506,0.003887638,0.000001606492,0.00008351223,0.7788119,0.0002582646],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5808181,0.002194409,0.08973995,0.3156733,0.003391495,0.001314265,0.002333109,0.0002821585,0.004253209],"genre_scores_gemma":[0.811883,0.006512554,0.1570082,0.02120773,0.001835428,0.000008865176,0.001075891,0.00008119434,0.00038713],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8598691,"threshold_uncertainty_score":0.9999917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2531390825386769,"score_gpt":0.452632418154966,"score_spread":0.1994933356162891,"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."}}