{"id":"W4392640011","doi":"10.57209/e-locucao.v1i20.390","title":"A UTILIZAÇÃO DA INTELIGÊNCIA ARTIFICIAL NOS TRABALHOS DE AUDITORIA INDEPENDENTE","year":2021,"lang":"pt","type":"article","venue":"Revista Científica e-Locução","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Occupational and Environmental Medical Association of Canada","funders":"","keywords":"Philosophy; Humanities","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","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001585153,0.001068513,0.00120026,0.0006115481,0.0008778578,0.004665701,0.001805361,0.0007016629,0.01052537],"category_scores_gemma":[0.002273798,0.001133889,0.0006893698,0.003878835,0.000305854,0.002007389,0.001475824,0.001260452,0.006470354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003736582,"about_ca_system_score_gemma":0.0007945007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001773592,"about_ca_topic_score_gemma":0.0001426642,"domain_scores_codex":[0.9926336,0.0001714686,0.001742442,0.002015128,0.001608628,0.001828749],"domain_scores_gemma":[0.9951195,0.0001896603,0.0009851973,0.001925504,0.001572553,0.0002075593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001096693,0.006015113,0.03014072,0.01102851,0.001131208,0.003329377,0.00192864,0.0001265126,0.02464302,0.2024635,0.4669904,0.2511063],"study_design_scores_gemma":[0.0006616841,0.00004094962,0.002813916,0.001870573,0.0007853523,0.00009753264,0.001700745,0.01057667,0.003014592,0.0005881383,0.9761805,0.001669334],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5368344,0.04851564,0.2213636,0.02057032,0.09633522,0.007466268,0.002507835,0.002937158,0.06346951],"genre_scores_gemma":[0.9805917,0.0006785052,0.0001606475,0.002032187,0.008016814,0.0000630736,0.0007620831,0.0001871026,0.007507941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5091901,"threshold_uncertainty_score":0.9991111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08202005504977644,"score_gpt":0.3156217217567132,"score_spread":0.2336016667069367,"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."}}