{"id":"W936501996","doi":"10.1016/j.socscimed.2015.07.013","title":"Clarifying hierarchical age–period–cohort models: A rejoinder to Bell and Jones","year":2015,"lang":"en","type":"letter","venue":"Social Science & Medicine","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":46,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Cancer Institute; National Institute on Aging; National Institute on Alcohol Abuse and Alcoholism","keywords":"Period (music); Demography; Cohort; Gerontology; Medicine; Sociology; Philosophy; Internal medicine; Aesthetics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":["sts"],"category_scores_codex":[0.008895961,0.0005309177,0.001006698,0.000880194,0.003178182,0.0003817349,0.001691178,0.0009185224,0.0001185033],"category_scores_gemma":[0.0008330559,0.0004649537,0.0001619396,0.002842426,0.01072488,0.0006215252,0.0004502599,0.002459791,0.0000294859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006466956,"about_ca_system_score_gemma":0.00109795,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008071761,"about_ca_topic_score_gemma":0.001670019,"domain_scores_codex":[0.9900313,0.0005661452,0.0006994673,0.001487914,0.005437903,0.001777298],"domain_scores_gemma":[0.9977453,0.0001283177,0.000305593,0.0005388035,0.0006041353,0.0006778203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001587099,0.00003311928,0.005600723,0.00008018554,0.00006213629,0.0003951876,0.1154947,0.000003809292,0.00002043127,0.01255235,0.8576614,0.008080103],"study_design_scores_gemma":[0.0004344679,0.000115825,0.006098886,0.0001816945,0.0001745715,0.0000046917,0.006518205,0.0000377557,6.728582e-7,0.03697016,0.9487332,0.0007299408],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.02012399,0.0007171612,0.0003740086,0.7715366,0.003096458,0.001897262,0.00002344864,0.0002629679,0.2019681],"genre_scores_gemma":[0.3236147,0.000708363,0.0004870466,0.6358327,0.03121526,0.0002845575,0.00007559494,0.0001249638,0.007656784],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.3034908,"threshold_uncertainty_score":0.9998416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06703587144779964,"score_gpt":0.3531749100633552,"score_spread":0.2861390386155555,"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."}}