{"id":"W2591691566","doi":"","title":"EL ENVEJECIMIENTO POBLACIONAL EN CUBA, DESDE EL PRISMA DE LA EPIDEMIOLOGÍA SOCIAL Y LA ÉTICA","year":2017,"lang":"es","type":"article","venue":"Anales de la Academia de Ciencias de Cuba","topic":"Aging, Health, and Disability","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Population; Philosophy; Political science; Sociology; Demography","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","sts","research_integrity"],"consensus_categories":["sts","research_integrity"],"category_scores_codex":[0.01778358,0.0007428035,0.001265149,0.0002638257,0.001812944,0.0002874096,0.001829253,0.004474317,0.0003089163],"category_scores_gemma":[0.02315963,0.000726119,0.0006509722,0.0002906434,0.003916105,0.0004413225,0.0005301383,0.005619141,0.0001680509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002641825,"about_ca_system_score_gemma":0.004547185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001324681,"about_ca_topic_score_gemma":0.00007061589,"domain_scores_codex":[0.9896796,0.004365421,0.001273649,0.001204956,0.0008771729,0.002599145],"domain_scores_gemma":[0.9884169,0.007789,0.000946829,0.001079317,0.0001893595,0.001578621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002941606,0.0004204232,0.8907546,0.0006295879,0.0001438538,0.0002363158,0.01050866,0.0000425246,0.001706733,0.06780206,0.02037984,0.007081216],"study_design_scores_gemma":[0.001708335,0.0001504325,0.8824357,0.0003583206,0.0005020573,0.0004601695,0.001666776,0.003729361,0.0004943659,0.03935172,0.06852324,0.0006195301],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.947584,0.002589521,0.00414898,0.01153744,0.0001729174,0.0005500361,0.0001031102,0.0001756461,0.0331384],"genre_scores_gemma":[0.9783159,0.003794997,0.003248326,0.01095994,0.00277565,0.00008681268,0.00003813895,0.00009630492,0.0006838611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0481434,"threshold_uncertainty_score":0.999519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02732344059443732,"score_gpt":0.396246937800908,"score_spread":0.3689234972064707,"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."}}