{"id":"W2104931818","doi":"10.1177/1524839909334624","title":"Geographic Information Systems (GIS) for Health Promotion and Public Health: A Review","year":2009,"lang":"en","type":"review","venue":"Health Promotion Practice","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":197,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Health promotion; Public health; GIS and public health; Geographic information system; Profiling (computer programming); Health policy; Public participation GIS; Environmental health; Medicine; Public relations; Political science; Geography; Computer science; Nursing; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005316752,0.001195348,0.002562406,0.00956527,0.0007140243,0.002974965,0.001828429,0.002146996,0.004872062],"category_scores_gemma":[0.01295641,0.0006780241,0.001414712,0.01946954,0.001383633,0.003888457,0.001463728,0.001681446,0.001296729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002553577,"about_ca_system_score_gemma":0.007977697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009335406,"about_ca_topic_score_gemma":0.01302354,"domain_scores_codex":[0.9966682,0.001538658,0.0005285448,0.000201965,0.0009614263,0.0001011713],"domain_scores_gemma":[0.9822242,0.01443098,0.0007885041,0.000210202,0.002149693,0.0001964899],"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":[0.00002750702,0.00005674989,0.000494037,0.05827705,0.0001862821,0.0001479456,0.000420751,0.00072489,0.0002463495,0.008735812,0.02136915,0.9093135],"study_design_scores_gemma":[0.00002678562,0.00011503,0.00296375,0.06857992,0.0004607167,0.0008389518,0.001110445,0.0006560963,0.0004795774,0.00765116,0.9170416,0.00007591571],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001656719,0.9959269,0.0007250629,0.001119698,0.0002195321,0.00003101432,0.00004536869,0.00001574034,0.001751004],"genre_scores_gemma":[0.001222443,0.996677,0.001670217,0.0001393327,0.00007897013,0.00002885629,0.00003489541,0.00000307632,0.0001451594],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00956527,"threshold_uncertainty_score":0.02811801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1523135964450655,"score_gpt":0.4622337925787041,"score_spread":0.3099201961336386,"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."}}