{"id":"W4404315218","doi":"10.1017/9781009007245.013","title":"Longevity in Modern Populations","year":2024,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Longevity; Biology; 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":[0.0004346347,0.0003146794,0.0002224919,0.0005304013,0.0007249301,0.001608291,0.0002806762,0.0008353876,0.008729686],"category_scores_gemma":[0.0007966293,0.00009999837,0.0001308041,0.0006329399,0.002556878,0.001908297,0.001023081,0.001108707,0.002002107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009551657,"about_ca_system_score_gemma":0.0007633007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001416091,"about_ca_topic_score_gemma":0.001672636,"domain_scores_codex":[0.9998023,0.00005605435,0.000006855976,0.00004891475,0.00006388185,0.00002200232],"domain_scores_gemma":[0.9998865,0.0000553246,0.00001126328,0.00001522274,0.00001805573,0.00001371086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00001194682,0.00001317661,0.0006149732,0.0001594094,0.000005404412,0.0000921947,0.003296939,0.0003654159,0.000253385,0.7918509,0.05869774,0.1446385],"study_design_scores_gemma":[0.00000295893,0.00002514306,0.001805705,0.0002183704,0.000004199635,0.0002547516,0.0004592033,0.0001291631,0.00006430133,0.2168688,0.7801608,0.000006557402],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01536654,0.1775711,0.008841161,0.02302968,0.002240877,0.00004065815,0.0002946238,0.000113616,0.7725016],"genre_scores_gemma":[0.3350406,0.187673,0.0100381,0.009580555,0.005045396,0.0001614718,0.0003315548,0.0000844492,0.4520448],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008729686,"threshold_uncertainty_score":0.02920377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0486442740254725,"score_gpt":0.2667551234831736,"score_spread":0.2181108494577011,"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."}}