{"id":"W2766646457","doi":"10.5539/mas.v11n11p60","title":"A Physics Model for Analysis on Demographic Structures","year":2017,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Life expectancy; Population; Census; Matching (statistics); Statistical physics; Demographic analysis; Set (abstract data type); Order (exchange); Statistics; Econometrics; Mathematics; Demography; Physics; Computer science; Sociology; Economics","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":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.001823718,0.0002114344,0.0003061793,0.0004116458,0.006034971,0.0009141884,0.00229483,0.00008094595,0.000007749911],"category_scores_gemma":[0.00009766751,0.000199742,0.0002794694,0.001126815,0.002767411,0.0004197457,0.0001874689,0.0001427265,0.00000779828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000886526,"about_ca_system_score_gemma":0.0001851652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003815578,"about_ca_topic_score_gemma":0.001920345,"domain_scores_codex":[0.996731,0.0000257492,0.0002262963,0.0008648689,0.001363691,0.0007883464],"domain_scores_gemma":[0.9979798,0.00005178046,0.0003011536,0.001287762,0.0001779689,0.0002015678],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004381726,0.0001097017,0.0141341,0.00001584507,0.0001693641,0.000001003076,0.0060809,0.04663684,0.001706897,0.8975358,0.0001522128,0.03341352],"study_design_scores_gemma":[0.0002390446,0.00001302225,0.04010849,0.000003174451,0.0001731918,2.151438e-8,0.0002037232,0.6172837,0.0001755134,0.3412633,0.0002576377,0.0002791675],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2250099,0.00002003913,0.7019889,0.0004190848,0.0002765552,0.001112182,0.00004070823,0.0001582583,0.07097437],"genre_scores_gemma":[0.9937172,0.00002657166,0.005323049,0.0003432952,0.0001458651,0.0001449959,0.000003215969,0.00001477876,0.0002810359],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7687073,"threshold_uncertainty_score":0.9999465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05941970858484971,"score_gpt":0.3581049439636261,"score_spread":0.2986852353787764,"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."}}