{"id":"W2162472800","doi":"","title":"Mortality Statistics for the Oldest-Old: An Evaluation of Canadian Data","year":2000,"lang":"en","type":"article","venue":"","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Statistics; Geography; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006306767,0.00007820738,0.0001045798,0.0001167766,0.0005211093,0.00007654228,0.0007973109,0.00004673578,0.002543174],"category_scores_gemma":[0.00019951,0.00006204728,0.00002995846,0.0005357458,0.0002670322,0.00029043,0.00002243101,0.00004658657,0.00001329672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007529707,"about_ca_system_score_gemma":0.0004647475,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8800437,"about_ca_topic_score_gemma":0.9875316,"domain_scores_codex":[0.9980662,0.0003034424,0.0002395168,0.00025464,0.0008400804,0.0002960905],"domain_scores_gemma":[0.9984597,0.0001300086,0.00006996984,0.0009036761,0.0003085319,0.0001281369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00001276045,0.0001554281,0.1078022,0.00002940475,0.0002069246,0.000001222322,0.005811166,0.0009369419,0.00000206505,0.411959,0.05314553,0.4199373],"study_design_scores_gemma":[0.0003587947,0.00003599592,0.7572597,0.000005192746,0.0004007351,7.430181e-8,0.003809599,0.03175165,0.000005374379,0.01683505,0.1893527,0.0001852104],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7306325,0.0002254318,0.002848278,0.00217215,0.000863103,0.004699841,0.004155741,0.00009017629,0.2543128],"genre_scores_gemma":[0.9949143,0.0002931447,0.002560399,0.0003426258,0.0001428813,0.00005220913,0.0002711464,0.000008700156,0.001414582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6494575,"threshold_uncertainty_score":0.9983686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2244760787819357,"score_gpt":0.4274178946737874,"score_spread":0.2029418158918517,"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."}}