{"id":"W1529944287","doi":"10.11606/d.85.2008.tde-20082009-192847","title":"Estudo das melhores práticas de sistemas de indicadores de desempenho institucionais em organizações públicas de pesquisa, desenvolvimento e inovação (P&amp;D&amp;I), preferencialmente militares","year":2008,"lang":"pt","type":"dissertation","venue":"","topic":"Business and Management Studies","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Embrapa Florestas; Instituto de Tecnologia e Pesquisa, Universidade Tiradentes; Embrapa Mandioca e Fruticultura; Universidade Federal do Rio de Janeiro; Instituto Nacional de Pesquisas da Amazônia; Fundação Oswaldo Cruz; Embrapa Agroindústria Tropical; Embrapa Recursos Genéticos e Biotecnologia; Fundação de Tecnologia do Estado do Acre; Partenariat Canadien Contre Le Cancer; Instituto de Tecnologia de Alimentos; CPA Australia","keywords":"Balanced scorecard; Context (archaeology); Process management; Performance indicator; Public sector; Business; Process (computing); Work (physics); Performance management; Performance measurement; Political science; Knowledge management; Engineering; Computer science; Geography; Marketing","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01614849,0.000417312,0.0005182193,0.002633253,0.001348963,0.006460303,0.00123462,0.0009032966,0.005467034],"category_scores_gemma":[0.05462633,0.0004378773,0.0007735164,0.004770998,0.001912382,0.003933077,0.002940125,0.001237666,0.0009172388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004159031,"about_ca_system_score_gemma":0.004862505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01512445,"about_ca_topic_score_gemma":0.01391547,"domain_scores_codex":[0.9903685,0.004770851,0.0007145178,0.001278894,0.002354521,0.0005127759],"domain_scores_gemma":[0.9326667,0.03948816,0.01299615,0.003768698,0.009568619,0.001511798],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006602025,0.0006143426,0.7190841,0.0008709484,0.0004290312,0.0001848294,0.05216105,0.008086703,0.005537156,0.03918147,0.003085562,0.1701047],"study_design_scores_gemma":[0.00007689939,0.0009950055,0.8962827,0.0003820681,0.0002893279,0.000118315,0.04056654,0.02331647,0.004152959,0.01394581,0.01970932,0.0001645171],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9464511,0.0005340336,0.01656124,0.002168921,0.0000405885,0.0002793977,0.0006861098,0.0002453697,0.03303329],"genre_scores_gemma":[0.992206,0.0001725871,0.005196405,0.00007760111,0.00001293776,0.0001501616,0.0002083414,0.00002216949,0.001953845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9838515,"threshold_uncertainty_score":0.08540243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1100036272078371,"score_gpt":0.3905289819206831,"score_spread":0.2805253547128461,"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."}}