{"id":"W2155927957","doi":"10.4258/hir.2012.18.2.88","title":"Geographical Information Systems and Health: Current State and Future Directions","year":2012,"lang":"en","type":"article","venue":"Healthcare Informatics Research","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"Algoma University","funders":"","keywords":"Geographic information system; Health informatics; GIS and public health; GIS applications; Informatics; Current (fluid); Information system; Action (physics); State (computer science); Data science; Health care; Computer science; Environmental planning; Geography; Political science; Engineering; Remote sensing","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":[],"consensus_categories":[],"category_scores_codex":[0.003073621,0.0001435465,0.0003220458,0.0006300893,0.0004416139,0.0001390273,0.00007416556,0.00007918879,0.000008748715],"category_scores_gemma":[0.0001366305,0.0001207495,0.00003194819,0.0006734449,0.0001756787,0.001104938,0.0001592409,0.0008453444,0.00008470675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001934711,"about_ca_system_score_gemma":0.0004290435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005783534,"about_ca_topic_score_gemma":0.00007291038,"domain_scores_codex":[0.9971478,0.0002285177,0.0007635205,0.00009293191,0.0009403654,0.0008268904],"domain_scores_gemma":[0.9974934,0.0001219583,0.0001535586,0.0003700705,0.000619242,0.001241708],"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":[0.00009294953,0.00009165449,0.1441215,0.009177951,0.00003520542,8.213063e-7,0.008648073,9.502214e-7,2.922422e-7,0.003172997,0.01104294,0.8236147],"study_design_scores_gemma":[0.0004634686,0.0001736208,0.3029646,0.0002474613,0.000004070613,0.00009392398,0.002061204,0.001243235,6.161999e-7,0.00003045687,0.6926234,0.00009399636],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7430392,0.1849718,0.0005846426,0.05216717,0.003290288,0.008416169,0.002594742,0.0005752783,0.004360711],"genre_scores_gemma":[0.9220232,0.07466124,0.0006762091,0.0008925528,0.0006528766,0.0002059315,0.0008276333,0.00002197793,0.00003833354],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8235207,"threshold_uncertainty_score":0.492402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1052116322515745,"score_gpt":0.4462978365809015,"score_spread":0.341086204329327,"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."}}