{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04020063,0.002528795,0.00183923,0.006857323,0.00253638,0.01322978,0.005770138,0.004811095,0.00416679],"category_scores_gemma":[0.03867146,0.001535992,0.003842,0.004554671,0.003124407,0.006031398,0.00760704,0.004517542,0.00315473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006427822,"about_ca_system_score_gemma":0.02936243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03699754,"about_ca_topic_score_gemma":0.02456841,"domain_scores_codex":[0.9588347,0.01506156,0.006346546,0.003352742,0.01388707,0.002517406],"domain_scores_gemma":[0.9602795,0.01510341,0.002745111,0.008818375,0.01155961,0.001494025],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001902123,0.0005702661,0.004395211,0.003170487,0.0003156043,0.0007760479,0.002817343,0.03903833,0.01019215,0.6408377,0.02299498,0.2747015],"study_design_scores_gemma":[0.0001004078,0.0002290121,0.00382842,0.004359525,0.0004076265,0.0007397066,0.001273049,0.09764344,0.02041864,0.2684385,0.6023247,0.000236927],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00348277,0.0007066721,0.9493589,0.002884105,0.0001668498,0.001456576,0.001849075,0.005695679,0.03439942],"genre_scores_gemma":[0.0412203,0.001099823,0.9425595,0.001050834,0.0001139944,0.001800968,0.005569276,0.0008688602,0.005716478],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04020063,"threshold_uncertainty_score":0.2126038,"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."}}