{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001298672,0.0001254421,0.000269367,0.0001241519,0.0003166,0.0000332271,0.0001098596,0.00006156559,0.00007815023],"category_scores_gemma":[0.0001898272,0.0001153011,0.00007446352,0.0003226242,0.0001553574,0.0002426268,0.00004966127,0.00008227043,0.00005167372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001320432,"about_ca_system_score_gemma":0.00001126032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002101748,"about_ca_topic_score_gemma":0.003277975,"domain_scores_codex":[0.9983026,0.0001925279,0.0004980294,0.0002341888,0.0004951474,0.000277442],"domain_scores_gemma":[0.9994504,0.00008177011,0.0001165507,0.0001887862,0.0001105978,0.00005184194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000009531305,0.0002840856,0.3486839,0.0001435813,0.00008350965,0.000006107481,0.0432714,0.001948618,0.000001227265,0.604516,0.00009342528,0.0009585821],"study_design_scores_gemma":[0.0002805536,0.00001802419,0.3168737,0.0001257861,0.00006884273,2.346986e-7,0.01565507,0.01793827,0.00001632265,0.6484411,0.0002582032,0.000323928],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9552364,0.0002175401,0.0187291,0.0001621908,0.0002320028,0.0005443168,0.000001408391,0.0001182391,0.02475883],"genre_scores_gemma":[0.994943,0.0002201572,0.004519604,0.00006257524,0.00007052729,0.00005672823,0.000003270784,0.000009445742,0.0001147054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04392502,"threshold_uncertainty_score":0.4701842,"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."}}