{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.01483831,0.0007754659,0.004319801,0.0008697159,0.0006571901,0.0002447198,0.0002449222,0.0003666476,0.00002442334],"category_scores_gemma":[0.005669109,0.0006864893,0.0004404711,0.001448344,0.0000775817,0.002735289,0.00008089525,0.001115403,0.0001405932],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001561597,"about_ca_system_score_gemma":0.009518566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002907896,"about_ca_topic_score_gemma":0.00002664031,"domain_scores_codex":[0.9878329,0.004575122,0.004150308,0.0009691382,0.001123245,0.001349299],"domain_scores_gemma":[0.9870697,0.0005535742,0.008329778,0.001219102,0.001147012,0.001680821],"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":[0.00001603477,0.0006036566,0.000003552598,0.3857925,0.00009278989,0.000002173472,0.00005319726,5.124858e-8,1.379834e-9,0.0004294939,0.02208963,0.5909169],"study_design_scores_gemma":[0.0008192805,0.003570535,0.00005542874,0.1441113,0.0003545079,0.001322354,0.00004191968,0.00003850191,1.32465e-9,0.000009317253,0.8493393,0.0003375538],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[1.859984e-7,0.852016,0.002884934,0.1175049,0.0005604469,0.02548203,0.0009456821,0.0004128692,0.0001929894],"genre_scores_gemma":[0.000004403932,0.9615237,0.002242822,0.01762243,0.0003768341,0.002610909,0.01544233,0.00009021109,0.00008634153],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8272496,"threshold_uncertainty_score":0.9995586,"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."}}