{"id":"W2176989252","doi":"10.19030/iber.v10i1.924","title":"Population Distribution Model For Oman","year":2011,"lang":"en","type":"article","venue":"International Business & Economics Research Journal (IBER)","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Sultan Qaboos University; Dalhousie University; Monash University","keywords":"Population; Distribution (mathematics); Census; Geography; Demography; Developing country; Exponential distribution; Population projection; Projections of population growth; Goodness of fit; Developed country; Statistics; Population growth; Mathematics; Economic growth; Sociology; Economics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.001922321,0.00119346,0.001263038,0.003181425,0.001366098,0.002828421,0.002688223,0.002352816,0.02257528],"category_scores_gemma":[0.005419592,0.0004502941,0.001374406,0.00424913,0.0008098759,0.002729279,0.001412287,0.002131287,0.008739194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003276633,"about_ca_system_score_gemma":0.001512815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03776504,"about_ca_topic_score_gemma":0.0193943,"domain_scores_codex":[0.9987908,0.0003672091,0.00007033243,0.0003606902,0.0001963468,0.0002146615],"domain_scores_gemma":[0.9987745,0.0004693282,0.0002303904,0.00008587659,0.0003915188,0.00004845202],"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":[0.0002338143,0.0002343848,0.04059725,0.0005413451,0.0002582243,0.002749362,0.003346076,0.4619541,0.0009785196,0.351106,0.05889916,0.07910184],"study_design_scores_gemma":[0.00005320753,0.0001373331,0.01794471,0.0002497703,0.00008506838,0.001646498,0.001386646,0.830474,0.000206029,0.08727837,0.06044159,0.00009685788],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2650352,0.007142244,0.5538532,0.01189265,0.001800383,0.001839647,0.04704147,0.003013717,0.1083816],"genre_scores_gemma":[0.8020138,0.004833578,0.04848825,0.0009617255,0.0005728326,0.00334031,0.01870488,0.0003584349,0.1207261],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03776504,"threshold_uncertainty_score":0.07552189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1884937031398993,"score_gpt":0.4107320219022988,"score_spread":0.2222383187623995,"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."}}