{"id":"W2103031362","doi":"","title":"Revue de la littérature sur l'évolution future de l'espérance de vie et de l'espérance de vie en santé","year":2011,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Global Health Care Issues","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Life expectancy; Phenomenon; Population; Population ageing; Longevity; Relevance (law); Demographic transition; Gerontology; Demography; Sociology; Humanities; Psychology; Political science; Medicine; Fertility; Philosophy; Epistemology; Law","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":["metaresearch","metaepi_narrow","research_integrity"],"consensus_categories":["metaresearch","research_integrity"],"category_scores_codex":[0.03212452,0.001132221,0.001835178,0.0006376631,0.001154535,0.0001812319,0.002531553,0.006713953,0.0004571238],"category_scores_gemma":[0.009233924,0.001384778,0.0005574588,0.0006812681,0.00100806,0.0004109488,0.001710748,0.01766021,0.0002880642],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.02984386,"about_ca_system_score_gemma":0.03076381,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.007908856,"about_ca_topic_score_gemma":0.03060522,"domain_scores_codex":[0.9677414,0.02105631,0.002259581,0.002263147,0.0005592686,0.006120272],"domain_scores_gemma":[0.9856734,0.007795883,0.001033338,0.002677119,0.0007313286,0.002088936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004863027,0.001990592,0.4864439,0.02558266,0.0006265377,0.001657772,0.07619132,0.02196747,0.002683547,0.08371454,0.02820904,0.2660696],"study_design_scores_gemma":[0.001759358,0.0002640044,0.3740752,0.008353576,0.00006303913,0.0003312754,0.005534328,0.005527247,0.0002310368,0.01754092,0.5851259,0.001194198],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6863252,0.03902838,0.000359537,0.02497941,0.004415787,0.005745217,0.00107985,0.000417535,0.2376491],"genre_scores_gemma":[0.5361184,0.412701,0.02817957,0.004516868,0.007765389,0.001528753,0.0001803361,0.0004053696,0.008604419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5569168,"threshold_uncertainty_score":0.9991117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03235937177798925,"score_gpt":0.4106493852456175,"score_spread":0.3782900134676282,"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."}}