{"id":"W2100244627","doi":"10.1080/08898480.2011.540173","title":"Modelling Deceleration in Senescent Mortality","year":2011,"lang":"en","type":"article","venue":"Mathematical Population Studies","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Mortality rate; Demography; Cohort; Gerontology; Statistics; Econometrics; Medicine; Economics; Mathematics; 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":[0.00130898,0.0007410043,0.0007081,0.0009848662,0.0002296945,0.0009806247,0.001452728,0.001411335,0.001862293],"category_scores_gemma":[0.007124356,0.0003994605,0.0009271079,0.0005995704,0.0006448273,0.0006660352,0.0008640239,0.0008182255,0.0003226471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009865208,"about_ca_system_score_gemma":0.0006242977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01240426,"about_ca_topic_score_gemma":0.005520925,"domain_scores_codex":[0.9996979,0.0001019803,0.00001790668,0.00008309232,0.00003434702,0.00006480914],"domain_scores_gemma":[0.9979205,0.001268662,0.0003460404,0.0001015714,0.0001800082,0.0001832313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007164461,0.00003031813,0.006378017,0.00005102885,0.00003585332,0.0001243312,0.00009560384,0.9783139,0.0009261843,0.009046236,0.0004757431,0.004451072],"study_design_scores_gemma":[0.000007931919,0.00002191793,0.001213956,0.000007692022,0.000008999888,0.00002847921,0.00001324406,0.9958251,0.0001194409,0.002410057,0.0003351828,0.000008139813],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7924263,0.001177654,0.1982372,0.0005613072,0.0001433226,0.0000712833,0.001269931,0.0003945302,0.005718496],"genre_scores_gemma":[0.9882582,0.0003606182,0.006756703,0.00004820318,0.00003461986,0.00005297437,0.0003908671,0.00004827642,0.004049446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01240426,"threshold_uncertainty_score":0.0246641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3163352231460316,"score_gpt":0.408388313478529,"score_spread":0.09205309033249737,"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."}}