{"id":"W4387376628","doi":"10.59934/jaiea.v3i1.323","title":"Application Of Vikor Method To Determine The Location Of Election And Election Care Villages","year":2023,"lang":"en","type":"article","venue":"Journal of Artificial Intelligence and Engineering Applications (JAIEA)","topic":"Decision Support System Applications","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Compromise; Ranking (information retrieval); Democracy; VIKOR method; Politics; General election; Normalization (sociology); Local government; Computer science; Process (computing); Order (exchange); Local election; Government (linguistics); Operations research; Political science; Public relations; Process management; Public administration; Business; Engineering; Sociology; Multiple-criteria decision analysis; Finance; Information retrieval; Law","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":[0.0007047656,0.0001080897,0.0002057901,0.0005842723,0.0001235611,0.00006211671,0.0001760523,0.00005634051,0.00000767919],"category_scores_gemma":[0.0001307336,0.00008984331,0.00004739527,0.002200607,0.00003240468,0.0002468388,0.00005087292,0.00009224201,0.00003710538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002723088,"about_ca_system_score_gemma":0.00002225811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000920381,"about_ca_topic_score_gemma":0.00002395707,"domain_scores_codex":[0.9987993,0.00000940275,0.0006867932,0.0001616425,0.0002255114,0.0001173441],"domain_scores_gemma":[0.9982712,0.0001675303,0.0004523696,0.0002131293,0.0008730127,0.00002273424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004906708,0.00007275076,0.0006349757,0.0005283016,0.00005296736,3.982655e-7,0.0006397995,0.02440894,0.2436155,0.02091888,0.0005131646,0.7085652],"study_design_scores_gemma":[0.0002972268,0.0003557488,0.04097704,0.0005660552,0.0006841436,0.0001371513,0.01359253,0.4164347,0.3224014,0.02293882,0.1805902,0.001024885],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06029346,0.000179513,0.9382301,0.0005806191,0.00007268274,0.0004939124,0.000002307083,0.00003877047,0.0001086554],"genre_scores_gemma":[0.9941531,0.00004912019,0.00525672,0.00003518081,0.0003278794,0.0001336339,0.000006897592,0.0000169267,0.00002054384],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9338596,"threshold_uncertainty_score":0.3663704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02935556840082738,"score_gpt":0.3005725980658291,"score_spread":0.2712170296650018,"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."}}