{"id":"W2704254100","doi":"10.14236/jhi.v24i2.940","title":"Understanding the use of geographical information systems (GIS) in health informatics research: A review","year":2017,"lang":"en","type":"review","venue":"Journal of Innovation in Health Informatics","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"Algoma University; Sault Area Hospital","funders":"","keywords":"Health informatics; Public health informatics; GIS and public health; Geographic information system; Public health; Informatics; Health geography; Data science; Health Administration Informatics; Information system; Environmental health; Medicine; HRHIS; Computer science; Geography; Health policy; International health; Pathology; Engineering; Cartography","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":[0.005689945,0.001432149,0.00265405,0.01546771,0.0007119153,0.004192344,0.001809562,0.003392351,0.003484245],"category_scores_gemma":[0.01908344,0.0007966995,0.002034649,0.01862239,0.001779263,0.005322995,0.001743873,0.002040495,0.0007854481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003084925,"about_ca_system_score_gemma":0.008651999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005770751,"about_ca_topic_score_gemma":0.0069718,"domain_scores_codex":[0.9960728,0.001566336,0.0008601735,0.0003641387,0.0009670323,0.0001695366],"domain_scores_gemma":[0.969676,0.02587516,0.001728262,0.0002670443,0.002176521,0.0002770401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00005949806,0.00005938377,0.0006950136,0.3329007,0.0006038536,0.0002566954,0.0009692655,0.000566527,0.0003632057,0.008834371,0.0167246,0.6379669],"study_design_scores_gemma":[0.00003240375,0.0001462127,0.00312541,0.3886133,0.001886313,0.001705448,0.001355604,0.0003529477,0.000418045,0.006306575,0.5959719,0.00008573174],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00006092313,0.9989904,0.0001066094,0.0004381396,0.0001015993,0.000006560875,0.00001013162,0.000002769447,0.0002828994],"genre_scores_gemma":[0.0007714294,0.998662,0.000245225,0.0001738062,0.00008518017,0.00001292183,0.00001098073,0.000001169318,0.00003722861],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01546771,"threshold_uncertainty_score":0.0300917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7092200099249943,"score_gpt":0.5230569497591335,"score_spread":0.1861630601658608,"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."}}