{"id":"W2039132808","doi":"10.1016/j.gaceta.2010.08.004","title":"Políticas intersectoriales para abordar el reto del envejecimiento activo. Informe SESPAS 2010","year":2010,"lang":"es","type":"article","venue":"Gaceta Sanitaria","topic":"Migration, Aging, and Tourism Studies","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Political science; Humanities; Persona; Population ageing; Population; Sociology; Art; Demography","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":[0.006001749,0.0005837649,0.0003378353,0.002662787,0.003023258,0.007204002,0.0008756872,0.005473834,0.03767316],"category_scores_gemma":[0.008758104,0.0003999555,0.0005835423,0.002635752,0.001686606,0.004180842,0.003306727,0.002923254,0.00738057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0066665,"about_ca_system_score_gemma":0.01016727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05403311,"about_ca_topic_score_gemma":0.06819423,"domain_scores_codex":[0.9957883,0.001200283,0.0002829806,0.0004184192,0.001568703,0.00074129],"domain_scores_gemma":[0.9955451,0.001873388,0.0003917837,0.0003364992,0.001446874,0.0004062935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000153335,0.00008011943,0.01183495,0.001419768,0.0000536981,0.0007833407,0.01437945,0.0007100548,0.00115079,0.2481645,0.4765944,0.2446756],"study_design_scores_gemma":[0.00001298237,0.00001841935,0.008345529,0.0009153362,0.00001841552,0.0001627085,0.003995305,0.0001010989,0.0002360996,0.007270556,0.9789059,0.0000177267],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02096042,0.07786325,0.004659452,0.146348,0.004295379,0.0001637,0.003156686,0.0003158864,0.7422374],"genre_scores_gemma":[0.3907663,0.07104534,0.008891441,0.03514057,0.001465279,0.0003917033,0.006563253,0.0003521614,0.485384],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05403311,"threshold_uncertainty_score":0.1260293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01922212382735589,"score_gpt":0.3198395405161374,"score_spread":0.3006174166887816,"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."}}