{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008184466,0.0003401872,0.0003444372,0.001282829,0.001253984,0.001168681,0.000296744,0.0004761238,0.001928502],"category_scores_gemma":[0.001895958,0.0003560998,0.0004321484,0.001275332,0.0006652366,0.0004497015,0.001041483,0.0003855296,0.0002384266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009448539,"about_ca_system_score_gemma":0.001443347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04290409,"about_ca_topic_score_gemma":0.07169913,"domain_scores_codex":[0.9996412,0.0001153455,0.00003666922,0.00004334702,0.0000660929,0.00009732193],"domain_scores_gemma":[0.9992954,0.0001353729,0.0002906633,0.0000339575,0.0001582016,0.00008645598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005876636,0.000051241,0.9899926,0.0001118293,0.00003070576,0.00009781134,0.005273737,0.00001810332,0.0007515285,0.00009167125,0.0000493651,0.003472667],"study_design_scores_gemma":[0.000001977853,0.0001510216,0.9896302,0.00006892502,0.00003492457,0.0002190673,0.008958037,0.00003632111,0.0002164335,0.00005214551,0.0006263724,0.000004694103],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978843,0.0007871207,0.0000823148,0.0001047317,0.000004649716,0.00002185773,0.0002138185,0.000002091722,0.0008991035],"genre_scores_gemma":[0.9988934,0.0003960817,0.000180442,0.00003778024,0.000004193819,0.00002214805,0.0001053886,5.663134e-7,0.0003600635],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04290409,"threshold_uncertainty_score":0.08530867,"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."}}