{"id":"W2154436850","doi":"10.1038/sj.embor.7400431","title":"Medicine, ageing and human longevity","year":2005,"lang":"en","type":"article","venue":"EMBO Reports","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":47,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Longevity; Ageing; 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":[0.001610571,0.0001638909,0.0002995861,0.000980117,0.0004329946,0.00202483,0.0001467857,0.001279614,0.005405705],"category_scores_gemma":[0.004487675,0.00008605069,0.0001397132,0.001045915,0.0008622286,0.001087569,0.0005270038,0.0007044563,0.0003942765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006387411,"about_ca_system_score_gemma":0.001008348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003498854,"about_ca_topic_score_gemma":0.007872813,"domain_scores_codex":[0.9996845,0.0001637398,0.00002583701,0.00002455136,0.00006908707,0.00003234111],"domain_scores_gemma":[0.9978629,0.001017903,0.0004555916,0.00008922861,0.0002472149,0.0003272359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008418781,0.0004779164,0.3265736,0.001485626,0.0004939823,0.001008366,0.004549683,0.001063255,0.002082376,0.1253844,0.05303199,0.4830069],"study_design_scores_gemma":[0.00009888757,0.0004180925,0.7514897,0.0007843736,0.0002434345,0.001211514,0.004895348,0.0007020048,0.0003349347,0.1113426,0.1284303,0.00004876004],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2428636,0.5146803,0.001609792,0.188243,0.003088518,0.00002193783,0.001013799,0.00007815625,0.04840094],"genre_scores_gemma":[0.8536543,0.1285285,0.0008884589,0.004734475,0.005481271,0.00002029862,0.0001753058,0.000006986308,0.006510437],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005405705,"threshold_uncertainty_score":0.01808387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02230966197861129,"score_gpt":0.3338439793868333,"score_spread":0.311534317408222,"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."}}