{"id":"W2783462100","doi":"10.5539/gjhs.v10n2p70","title":"A Review on Importance of Smart City Indexes for Citizens’ Health Case Study: Esfahan City","year":2017,"lang":"en","type":"review","venue":"Global Journal of Health Science","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Smart city; Urbanization; Viewpoints; Urban sprawl; Business; Vision; Algorism; Urban planning; Process (computing); Mental health; Environmental planning; Environmental health; Public relations; Political science; Economic growth; Medicine; Computer science; Sociology; Geography; Computer security; Engineering; Economics; Civil engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.005907397,0.0004223477,0.003302126,0.0002808369,0.0005651164,0.00007414488,0.001519647,0.0001298168,0.000005140873],"category_scores_gemma":[0.0005860719,0.0003147993,0.0004801216,0.0007646048,0.0004179982,0.0002224979,0.000159641,0.0006059497,0.000001102419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001168955,"about_ca_system_score_gemma":0.003051318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002846535,"about_ca_topic_score_gemma":0.0002915369,"domain_scores_codex":[0.9956468,0.00008033191,0.00238696,0.0003738592,0.000725445,0.0007865863],"domain_scores_gemma":[0.9949962,0.0001088611,0.003349575,0.0008710563,0.0003477481,0.0003264864],"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":[0.000004333822,0.00006478778,0.001437634,0.04698645,0.00005426253,0.0001466405,0.00001825838,0.000004436959,6.137796e-9,0.000108447,0.006295618,0.9448791],"study_design_scores_gemma":[0.0005944855,0.003202522,0.0006699834,0.1529847,0.0002140979,0.01347915,0.0002912453,0.00001578451,5.340324e-7,0.0004534936,0.827508,0.0005859997],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00163945,0.9945024,0.0001375219,0.000296476,0.001275254,0.001814693,0.0001931492,0.00006340953,0.00007764609],"genre_scores_gemma":[0.004806701,0.9940488,0.0007072119,0.0002852661,0.00009845007,0.00003091847,0.000001462585,0.00001814718,0.000003050302],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9442931,"threshold_uncertainty_score":0.9999304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1685009230167762,"score_gpt":0.4370276710187285,"score_spread":0.2685267480019523,"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."}}