{"id":"W1893927200","doi":"10.19175/recom.v0i0.151","title":"Perfil demográfico da população idosa de Montes Claros, Minas Gerais e Brasil","year":2011,"lang":"pt","type":"article","venue":"Revista de Enfermagem do Centro-Oeste Mineiro","topic":"Health, Nursing, Elderly Care","field":"Health Professions","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Demographics; Population; Demography; Sociology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003840358,0.0001765979,0.0002937955,0.001751825,0.0007159368,0.0005326307,0.0001985231,0.0001907488,0.001122471],"category_scores_gemma":[0.001632832,0.0001844934,0.0002236086,0.001852981,0.000370021,0.0004105635,0.0006017041,0.0002174457,0.0001143383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001065116,"about_ca_system_score_gemma":0.0009193294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1553188,"about_ca_topic_score_gemma":0.2621086,"domain_scores_codex":[0.9997556,0.00004912919,0.00003174267,0.0000387059,0.00007166262,0.00005323634],"domain_scores_gemma":[0.9994121,0.00009576281,0.0002464488,0.00002751189,0.00009243393,0.0001256695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001908212,0.00003123889,0.9896008,0.00005590556,0.00001321252,0.000175316,0.004369768,0.00002913177,0.0002005979,0.0001927308,0.0002492275,0.005062961],"study_design_scores_gemma":[8.920416e-7,0.00003031464,0.9948438,0.00003141935,0.000005962524,0.0002422272,0.003970311,0.00003289917,0.00002587228,0.00002486191,0.0007877689,0.000003602262],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968202,0.0005472705,0.000028012,0.0000952434,0.000004450474,0.00002839528,0.0008892083,0.00000509976,0.001582052],"genre_scores_gemma":[0.9988207,0.0004901115,0.0001138679,0.00002052211,0.00000383339,0.00002206889,0.0002782769,0.000001500478,0.0002490864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1553188,"threshold_uncertainty_score":0.3088295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1235823314952066,"score_gpt":0.3902928174706584,"score_spread":0.2667104859754518,"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."}}