{"id":"W4411020944","doi":"10.51161/ii-conbrasid/56594","title":"SAÚDE, CARACTERÍSTICAS SOCIODEMOGRÁFICAS E FRAGILIDADE EM PESSOAS IDOSAS QUILOMBOLAS","year":2025,"lang":"pt","type":"article","venue":"","topic":"Indigenous Health and Education","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity","insufficient_payload"],"category_scores_codex":[0.002339305,0.0007457186,0.001111542,0.0006775713,0.005277355,0.0001419412,0.0007314071,0.001848233,0.009074835],"category_scores_gemma":[0.000842014,0.0007266978,0.0003350553,0.001243689,0.0001729365,0.0003175471,0.0002840519,0.003248969,0.01046927],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001671956,"about_ca_system_score_gemma":0.01202841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004160971,"about_ca_topic_score_gemma":0.003436625,"domain_scores_codex":[0.9912913,0.001616058,0.002217556,0.001195815,0.0006304418,0.003048763],"domain_scores_gemma":[0.9943714,0.001924028,0.0006301081,0.001471895,0.0006430807,0.0009595423],"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":[0.0005642989,0.002024178,0.09935732,0.007657044,0.000456943,0.00003533682,0.2137052,0.0000082766,0.0001163902,0.09642364,0.5562039,0.02344747],"study_design_scores_gemma":[0.003102062,0.0004357299,0.3714429,0.002139143,0.0007408065,0.00001182379,0.1239192,0.000979092,0.0001800836,0.007896654,0.4876492,0.001503284],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6412661,0.003338157,0.003485243,0.06987516,0.02889972,0.00531311,0.0002101555,0.0007025481,0.2469098],"genre_scores_gemma":[0.7769889,0.0005586618,0.0004238813,0.02162574,0.001819591,0.0002167981,0.0002098207,0.00008998395,0.1980667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2720855,"threshold_uncertainty_score":0.9995184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0430852703112025,"score_gpt":0.4366870372485332,"score_spread":0.3936017669373307,"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."}}