{"id":"W6982094556","doi":"","title":"Governança de inteligência artificial nas organizações públicas : aplicação de fuzzy e crisp-set QCA a processos e práticas que considerem princípios éticos","year":2023,"lang":"pt","type":"dissertation","venue":"RIUnB Institutional Repository (University of Brasília)","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission; Government of Canada; Australian Government; National Institute of Advanced Industrial Science and Technology","keywords":"Nucleofection; Gestational period; TSG101; Dysgeusia; Diafiltration; Liquation; Emperipolesis; Triacetin; Fusible alloy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009053737,0.000613765,0.001279903,0.0005655518,0.002014367,0.0002722365,0.001073647,0.0007789421,0.001271745],"category_scores_gemma":[0.0009845728,0.0009250614,0.0005829427,0.0008933439,0.0009548386,0.000780579,0.0004573462,0.0007047977,0.006706272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001847996,"about_ca_system_score_gemma":0.002405585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002539072,"about_ca_topic_score_gemma":0.0009444217,"domain_scores_codex":[0.9960613,0.00008165343,0.001148034,0.001501151,0.000322684,0.000885137],"domain_scores_gemma":[0.9962613,0.0002776321,0.001755194,0.000665631,0.0006138538,0.0004263982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.002010397,0.002468422,0.05378348,0.004250512,0.00522998,0.002128027,0.0799448,0.004602542,0.003397633,0.585456,0.2548741,0.001854079],"study_design_scores_gemma":[0.008816629,0.001251939,0.2985564,0.004408862,0.003062866,0.00116707,0.3145638,0.04333475,0.0119025,0.04278326,0.2602695,0.009882351],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9212345,0.000786865,0.00134732,0.0006308862,0.006422658,0.001124846,0.004022197,0.0002475448,0.06418313],"genre_scores_gemma":[0.8793942,0.0006833535,0.0005469106,0.0001089238,0.0002817778,0.000009682831,0.0004449819,0.00006473436,0.1184655],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5426728,"threshold_uncertainty_score":0.9996412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04246624605039816,"score_gpt":0.2320394146508969,"score_spread":0.1895731686004988,"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."}}