{"id":"W4322727346","doi":"10.29327/conbrapa2022.569288","title":"Framework Conceitual Utilizando BPM para Identificação e Tratamento de Dados Pessoais e Sensíveis de Doadores de um Serviço de Hemoterapia","year":2023,"lang":"pt","type":"article","venue":"","topic":"Environmental and biological studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Adidas (Canada)","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001127295,0.0006750653,0.0006123857,0.00005805699,0.000845444,0.0002713885,0.0008905311,0.0006187283,0.00817176],"category_scores_gemma":[0.0001571277,0.000537689,0.0003484347,0.0006669323,0.001109198,0.0002341246,0.001195251,0.0006997821,0.003166325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009603314,"about_ca_system_score_gemma":0.00004010504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001945901,"about_ca_topic_score_gemma":0.0003980288,"domain_scores_codex":[0.9948501,0.0004813998,0.000640885,0.001152093,0.0006395805,0.002235965],"domain_scores_gemma":[0.9980016,0.0005419087,0.0001738831,0.0005530855,0.000008052745,0.0007214848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002714749,0.0007844671,0.819028,0.0001458382,0.0003188137,0.0004506364,0.009331933,0.001267978,0.1219506,0.0003034952,0.01868806,0.02745878],"study_design_scores_gemma":[0.000929937,0.0005242385,0.90688,0.0002079085,0.0001875818,0.00009118779,0.01207733,0.01344739,0.04896466,0.00518724,0.01025706,0.001245429],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875522,0.0007529159,0.00467612,0.004333778,0.0002361133,0.0005402941,0.000187588,0.0003028196,0.00141815],"genre_scores_gemma":[0.9791543,0.004330415,0.002534244,0.004085274,0.000166942,0.0000799149,0.00005395925,0.00004647641,0.00954843],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08785207,"threshold_uncertainty_score":0.9997075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05552537243185895,"score_gpt":0.3103579972911142,"score_spread":0.2548326248592552,"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."}}