{"id":"W3208918396","doi":"10.1590/0034-7167-2020-1370","title":"Nursing in Brazil: socioeconomic analysis with a focus on the racial composition","year":2021,"lang":"en","type":"article","venue":"Revista Brasileira de Enfermagem","topic":"Nursing education and management","field":"Nursing","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Socioeconomic status; White (mutation); Race (biology); Quarter (Canadian coin); Ethnic group; Nursing; Multivariate analysis; Census; Gerontology; Medicine; Demography; Geography; Environmental health; Sociology; Population; Gender studies","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":[],"consensus_categories":[],"category_scores_codex":[0.0003144736,0.000174781,0.0002821976,0.000252862,0.0002033533,0.0003188871,0.0001620372,0.00005711141,0.0003647556],"category_scores_gemma":[0.00003061777,0.0001466973,0.0001453282,0.0006574434,0.00009023832,0.0001211188,0.00001665539,0.0002550577,0.00009286334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007564228,"about_ca_system_score_gemma":0.00007837104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003253638,"about_ca_topic_score_gemma":0.00007815417,"domain_scores_codex":[0.9985389,0.0003589972,0.0002676842,0.0003568052,0.0001682969,0.0003093872],"domain_scores_gemma":[0.999137,0.0001803285,0.0001229448,0.0004410986,0.00004862759,0.00006994005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002317524,0.005366403,0.3714535,0.000473714,0.002036056,0.0004250049,0.04261701,0.007742559,0.01413199,0.2530079,0.1096019,0.1908264],"study_design_scores_gemma":[0.001127945,0.0001261772,0.9818331,0.0006276726,0.0009253354,0.00002665,0.001834686,0.00278831,0.0040549,0.0006707457,0.005496532,0.0004879491],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9770285,0.0001682838,0.001590863,0.0105427,0.000464225,0.0003179252,0.000006677939,0.00008258779,0.009798184],"genre_scores_gemma":[0.9964072,0.000004872649,0.0003513506,0.00248714,0.0001517958,0.00002765034,0.00005111819,0.00002802551,0.0004909154],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6103796,"threshold_uncertainty_score":0.5982144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02272702174301268,"score_gpt":0.3269902067412025,"score_spread":0.3042631849981898,"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."}}