{"id":"W4254977789","doi":"10.1007/978-94-017-1506-5_6","title":"Demographic Models","year":2003,"lang":"en","type":"book-chapter","venue":"Mathematical modelling: theory and applications","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Fibonacci number; Age structure; Reproduction; Population; Census; Sequence (biology); Statistics; Demography; Population structure; Geography; Mathematics; Econometrics; Genealogy; Biology; Combinatorics; History; Ecology; Sociology; Genetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067844,0.0007606702,0.0007755188,0.00113973,0.0007541167,0.002013398,0.001537225,0.001581235,0.04654333],"category_scores_gemma":[0.003608885,0.0002975613,0.000783282,0.001647859,0.0006893455,0.001813942,0.0009894543,0.001439303,0.01666306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001333818,"about_ca_system_score_gemma":0.001017826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008935274,"about_ca_topic_score_gemma":0.006975161,"domain_scores_codex":[0.9996105,0.0001230012,0.00001696703,0.0001063169,0.00007781455,0.00006545946],"domain_scores_gemma":[0.9993674,0.0002425973,0.0000626659,0.0001157353,0.0001473042,0.00006431928],"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":[0.00001330742,0.00005348968,0.001467971,0.00007997631,0.00002536919,0.00008163276,0.0002220135,0.03132153,0.0001264285,0.8820078,0.05001046,0.03458999],"study_design_scores_gemma":[0.00003236584,0.00002612611,0.00151703,0.00008493728,0.00003402853,0.0002745257,0.000221478,0.08563104,0.0001040482,0.6880689,0.2239772,0.00002839004],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.02514278,0.006118203,0.3040965,0.008437207,0.00139479,0.0003451464,0.01470977,0.001169389,0.6385863],"genre_scores_gemma":[0.4214627,0.009939693,0.04506382,0.002864613,0.001009065,0.001012042,0.01088724,0.0003833553,0.5073776],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.04654333,"threshold_uncertainty_score":0.1557029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04302541267176178,"score_gpt":0.2805915426242189,"score_spread":0.2375661299524571,"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."}}