{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.005055268,0.0006201768,0.0009964849,0.0007870901,0.0008500214,0.001684038,0.001683776,0.0003091658,0.00136368],"category_scores_gemma":[0.003598316,0.0005096401,0.0004657569,0.003559584,0.0004346809,0.0005288641,0.001232064,0.0004430422,0.002610485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000295033,"about_ca_system_score_gemma":0.0005225466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002318893,"about_ca_topic_score_gemma":0.00005379732,"domain_scores_codex":[0.9938598,0.0005068976,0.001173249,0.001191795,0.001559663,0.001708571],"domain_scores_gemma":[0.9957289,0.00157529,0.0005547281,0.001306854,0.0002986746,0.0005355799],"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":[0.0003856798,0.000713393,0.1855178,0.0006781776,0.0006860116,0.004296123,0.008438269,0.0004010173,0.0008474417,0.0376578,0.6406813,0.119697],"study_design_scores_gemma":[0.001535555,0.0003459991,0.3654088,0.001111671,0.0003635679,0.0001048363,0.009095915,0.005282946,0.0002532295,0.009730819,0.6052595,0.001507138],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9206862,0.01216312,0.03790332,0.01305924,0.0009218691,0.002121476,0.0002090422,0.0006495255,0.01228619],"genre_scores_gemma":[0.9792489,0.005218985,0.00097641,0.001203689,0.0001711791,0.0001479988,0.00001359674,0.00007563015,0.01294361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.179891,"threshold_uncertainty_score":0.9997355,"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."}}