{"id":"W2061244579","doi":"10.3138/carto.44.4.289","title":"Online Map Design for Public-Health Decision Makers","year":2009,"lang":"en","type":"article","venue":"Cartographica The International Journal for Geographic Information and Geovisualization","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto; Toronto Metropolitan University; St. Michael's Hospital; Simon Fraser University","funders":"","keywords":"Variety (cybernetics); Public health; Set (abstract data type); Space (punctuation); Data science; Computer science; Geography; Medicine; Artificial intelligence; Nursing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001842275,0.0001951576,0.00025226,0.0009457656,0.0005441825,0.0004495303,0.0002972241,0.00009753909,0.00002157174],"category_scores_gemma":[0.000722356,0.0001437862,0.000295896,0.0004432047,0.00009844073,0.0009539364,0.00003021447,0.0001775078,0.000002732328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006476772,"about_ca_system_score_gemma":0.0002475449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006270143,"about_ca_topic_score_gemma":0.00001085417,"domain_scores_codex":[0.997912,0.00007093202,0.0008379106,0.0001684071,0.000678731,0.0003319671],"domain_scores_gemma":[0.9967963,0.000253691,0.0005736699,0.0002039362,0.001882967,0.0002894224],"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":[0.003685307,0.0007665823,0.0141183,0.0001861085,0.000876494,0.000005030804,0.001686055,0.0009868323,0.00009627443,0.05376668,0.1024274,0.8213989],"study_design_scores_gemma":[0.007065724,0.001424052,0.06988753,0.0002568983,0.0001104906,0.0003598709,0.0009512437,0.03976495,0.00002228521,0.01598303,0.8638356,0.0003383098],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03018063,0.0007508564,0.9209263,0.04378425,0.001534641,0.002055619,0.0005674443,0.0001427766,0.00005743131],"genre_scores_gemma":[0.9224442,0.004355635,0.02582532,0.03825056,0.0009240994,0.0001385845,0.007936379,0.00003763262,0.00008765887],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.895101,"threshold_uncertainty_score":0.5863431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03842007328159899,"score_gpt":0.3500088197122713,"score_spread":0.3115887464306724,"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."}}