{"id":"W3000338135","doi":"10.1098/rsos.202097","title":"Human mortality at extreme age","year":2021,"lang":"en","type":"preprint","venue":"Royal Society Open Science","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Longevity; Demography; Sampling frame; Mortality rate; Medicine; Gerontology; Population; Sociology","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":[0.002220612,0.0002811502,0.0003951342,0.002093294,0.0004309427,0.0009373231,0.0003744303,0.0004702229,0.001333633],"category_scores_gemma":[0.009791307,0.00007906782,0.0007795636,0.00151857,0.0008268912,0.0003646325,0.0009172662,0.0004562194,0.000349384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006098784,"about_ca_system_score_gemma":0.000364593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004309025,"about_ca_topic_score_gemma":0.003231827,"domain_scores_codex":[0.998517,0.0007938123,0.00004565791,0.0002140263,0.0002424031,0.0001870764],"domain_scores_gemma":[0.9968503,0.001445408,0.0006941097,0.0005689376,0.0002367077,0.0002045029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003850902,0.00007541747,0.6816599,0.0002142749,0.0004663758,0.001415085,0.002409595,0.08518713,0.003106491,0.0805128,0.006669836,0.137898],"study_design_scores_gemma":[0.00002943604,0.000319444,0.7509207,0.00009479019,0.000130603,0.001895597,0.0007033123,0.09720287,0.001587902,0.1368658,0.01015121,0.00009841214],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8583619,0.001408229,0.1262871,0.0006061862,0.00006049843,0.000038094,0.002033134,0.0003046767,0.01090019],"genre_scores_gemma":[0.9930455,0.0002771922,0.005128923,0.00004311377,0.00005264677,0.00002869242,0.0008834843,0.00001477413,0.0005256332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004309025,"threshold_uncertainty_score":0.0117439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09291704062273762,"score_gpt":0.3846277642989162,"score_spread":0.2917107236761786,"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."}}