{"id":"W2037351910","doi":"10.1007/s12062-009-9012-6","title":"Introducing the Journal of Population Ageing","year":2008,"lang":"en","type":"article","venue":"Journal of Population Ageing","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Population ageing; Population; Maturity (psychological); Dominance (genetics); Geography; Ageing; Demography; Political science; Sociology; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005264209,0.000126964,0.0003114419,0.0004679904,0.001066891,0.0001023768,0.0003918011,0.00007789469,0.00006168841],"category_scores_gemma":[0.0009740539,0.00009659334,0.000266073,0.0006333273,0.0001035472,0.001079923,0.0000375119,0.0004354737,0.00000311315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002443122,"about_ca_system_score_gemma":0.00005974767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002929253,"about_ca_topic_score_gemma":0.001076807,"domain_scores_codex":[0.9964107,0.0007115915,0.001206068,0.0001032645,0.001297191,0.0002712082],"domain_scores_gemma":[0.9967925,0.00017371,0.002230089,0.0001773476,0.0005253434,0.0001010124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007634723,0.00008857605,0.9144303,0.00003005913,0.0001483189,0.0003000138,0.02135315,0.03585149,0.0003068325,0.003096006,0.001750766,0.02256814],"study_design_scores_gemma":[0.0003583387,0.00005369874,0.9906262,0.0001175592,0.00009351055,0.00008034361,0.002580128,0.000371219,0.00001373266,0.001955607,0.003633922,0.0001157113],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915264,0.0004096563,0.004009585,0.001146103,0.001801906,0.0001498965,5.393887e-7,0.00001530544,0.0009405757],"genre_scores_gemma":[0.9951895,0.000436041,0.001966025,0.0001410055,0.002148349,4.376847e-7,0.000001996802,0.00001550952,0.000101142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07619593,"threshold_uncertainty_score":0.8205772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02485359300703783,"score_gpt":0.3029854472011846,"score_spread":0.2781318541941468,"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."}}