{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001033894,0.00005778337,0.0001083833,0.0002582172,0.0001029932,0.00004695859,0.0000430853,0.00003298627,8.92301e-7],"category_scores_gemma":[0.0001309407,0.00005168026,0.00001275016,0.0002172897,0.00002487956,0.003339231,0.00003290376,0.00002299276,5.018828e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003642531,"about_ca_system_score_gemma":0.00001303674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001323365,"about_ca_topic_score_gemma":0.000001809774,"domain_scores_codex":[0.9991519,0.000009279206,0.0004621986,0.00006672599,0.0001878621,0.0001220648],"domain_scores_gemma":[0.9994469,0.000119945,0.0001417618,0.00008139307,0.0001580826,0.00005187131],"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":[0.00007940875,0.00004078764,0.04476427,0.0007096723,0.00000309466,5.555101e-8,0.007686914,0.5494535,0.00005981508,0.1484929,0.00002488308,0.2486847],"study_design_scores_gemma":[0.0003021409,0.00001979323,0.04076262,0.00005452201,0.000003052646,0.000004359943,0.00006857277,0.9574048,0.00001935535,0.001241456,0.00006357689,0.00005575832],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5070832,0.000004194816,0.4925776,0.00000691925,0.0001089732,0.0001540234,0.000004248887,0.00001116411,0.00004973259],"genre_scores_gemma":[0.933964,0.000001791667,0.06595799,0.00001945223,0.00002847239,0.000004124715,0.00002156163,0.000002101665,5.0458e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4268808,"threshold_uncertainty_score":0.2420862,"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."}}