{"id":"W2114570145","doi":"10.1109/hicss.2013.599","title":"Visual Analytics for Public Health: Supporting Knowledge Construction and Decision-Making","year":2013,"lang":"en","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Simon Fraser University","funders":"Virginia Agricultural Experiment Station, Virginia Polytechnic Institute and State University","keywords":"Visual analytics; Exploit; Computer science; Analytics; Data science; Process (computing); Knowledge management; Visualization; Artificial intelligence; Computer security","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01432462,0.001357538,0.0008211925,0.006286255,0.00244756,0.01246736,0.002559954,0.002033138,0.009760362],"category_scores_gemma":[0.03956234,0.0006897663,0.001183434,0.003957202,0.003774162,0.01051467,0.009599038,0.002279062,0.001586552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001840932,"about_ca_system_score_gemma":0.00487436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0031522,"about_ca_topic_score_gemma":0.003226998,"domain_scores_codex":[0.9906412,0.00680816,0.0004836676,0.0007199795,0.00102873,0.0003181876],"domain_scores_gemma":[0.9499725,0.03960903,0.001747302,0.005188904,0.002201524,0.001280918],"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":[0.0005550212,0.0005215454,0.008394993,0.004355109,0.0002991101,0.0007559559,0.04288088,0.01638,0.01017304,0.1766831,0.04062796,0.6983733],"study_design_scores_gemma":[0.0001937552,0.0003246664,0.004413025,0.003313517,0.0001724739,0.0006355605,0.02310683,0.06675557,0.007796008,0.7101875,0.1828713,0.000229777],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04069911,0.004224439,0.8633333,0.02649847,0.0004647406,0.001191115,0.00198567,0.006660744,0.05494235],"genre_scores_gemma":[0.4151747,0.003045586,0.5755014,0.001220307,0.0003079016,0.0007191811,0.001274857,0.0004471463,0.002308917],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01432462,"threshold_uncertainty_score":0.07575673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0556098623957771,"score_gpt":0.3843485862432115,"score_spread":0.3287387238474344,"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."}}