{"id":"W2108555487","doi":"10.5539/cis.v5n3p2","title":"Modeling and Simulation of a Decision Support System for Population Census in Nigerian","year":2012,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Computer science; Population; Decision support system; Marital status; Government (linguistics); American Community Survey; Work (physics); Operations research; Data mining; Demography; Sociology; Mathematics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007112016,0.0004081081,0.0004465598,0.0005225955,0.0009137588,0.001235366,0.000690783,0.001120328,0.002880678],"category_scores_gemma":[0.001515263,0.0003564478,0.0005532056,0.0005236798,0.0005325596,0.000754465,0.000662765,0.0006531164,0.0002116366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001583101,"about_ca_system_score_gemma":0.0017162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04093128,"about_ca_topic_score_gemma":0.0207461,"domain_scores_codex":[0.9996933,0.0001388136,0.00001929897,0.00004040604,0.00005068517,0.00005757455],"domain_scores_gemma":[0.9991472,0.0005376664,0.0000631918,0.00003038144,0.0001490716,0.00007235094],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006474592,0.00004580765,0.002978625,0.00002818042,0.00001035108,0.0001300358,0.0001218753,0.991707,0.0003781196,0.002392208,0.0001814674,0.001961503],"study_design_scores_gemma":[0.000009676663,0.00002155718,0.0003407073,0.000005663635,0.000004670888,0.000008311889,0.00006512438,0.998703,0.000191172,0.0003576211,0.0002878362,0.000004570169],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8668107,0.0002635921,0.111029,0.0009688173,0.0001155993,0.0002972984,0.0009404631,0.0005100076,0.01906447],"genre_scores_gemma":[0.9804865,0.0001588345,0.0158204,0.00003266226,0.000008107424,0.0001625241,0.0002398958,0.00001376957,0.003077321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04093128,"threshold_uncertainty_score":0.08138609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05858637450611476,"score_gpt":0.3474366278633294,"score_spread":0.2888502533572146,"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."}}