{"id":"W4384828694","doi":"10.54751/revistafoco.v16n7-084","title":"POWER BI PARA TOMADA DE DECISÕES ESTRATÉGICAS: ANÁLISE DE INDICADORES-CHAVE DE DESEMPENHO (KPIS)","year":2023,"lang":"pt","type":"article","venue":"Revista Foco","topic":"Business and Management Studies","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Microsemi (Canada)","funders":"","keywords":"Performance indicator; Humanities; Process management; Political science; Business; Philosophy; Marketing","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":[0.008228393,0.002665019,0.001703871,0.006922964,0.0009740707,0.005312913,0.001570322,0.001162078,0.004247583],"category_scores_gemma":[0.04654883,0.000687176,0.001280699,0.008586147,0.0009766378,0.004537245,0.001730455,0.001988131,0.001316106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00224474,"about_ca_system_score_gemma":0.002940484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01374408,"about_ca_topic_score_gemma":0.007522323,"domain_scores_codex":[0.9936877,0.002009094,0.0005393455,0.0009909418,0.002373815,0.0003991003],"domain_scores_gemma":[0.9710853,0.01862835,0.002814067,0.001813384,0.00515616,0.0005026736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00127119,0.0004937908,0.1095089,0.002858133,0.001198203,0.0005142024,0.003585934,0.1983339,0.01446708,0.02252648,0.01287265,0.6323695],"study_design_scores_gemma":[0.0001236153,0.001499069,0.08391396,0.000927673,0.0008922284,0.0007550143,0.005218514,0.7831887,0.0241968,0.05150366,0.04743665,0.0003442364],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3406965,0.008483756,0.6004359,0.003201481,0.0003568565,0.0009610582,0.005098437,0.004665467,0.03610061],"genre_scores_gemma":[0.8440946,0.001828475,0.1437341,0.0002955082,0.00007683273,0.0007447868,0.0030972,0.0004055991,0.00572283],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01374408,"threshold_uncertainty_score":0.0435164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09955131373595581,"score_gpt":0.3902370617211929,"score_spread":0.2906857479852371,"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."}}