{"id":"W2203360083","doi":"10.11606/rai.v12i4.101885","title":"USANDO AS LENTES DA ESTRATÉGIA PARA COMPREENDER OS DETERMINANTES DO DESEMPENHO EM PROJETOS DE PESQUISA E INOVAÇÃO AGROPECUÁRIA","year":2015,"lang":"pt","type":"article","venue":"RAI revista de administração e inovação","topic":"Business and Management Studies","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Humanities; Political science; Art","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":[0.04488176,0.0008198723,0.0007897369,0.004267495,0.002994026,0.01044497,0.002158004,0.001682005,0.005511924],"category_scores_gemma":[0.1127939,0.0007587065,0.001131011,0.005893739,0.004050333,0.006610062,0.004961753,0.00179088,0.0006962399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007196717,"about_ca_system_score_gemma":0.01789618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009046082,"about_ca_topic_score_gemma":0.01705335,"domain_scores_codex":[0.9541552,0.03133106,0.002515594,0.00281779,0.007427758,0.001752706],"domain_scores_gemma":[0.8514712,0.1063135,0.01545978,0.0107258,0.01258598,0.003443727],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007011796,0.001410214,0.3553904,0.004394495,0.0004831843,0.000340437,0.03449712,0.005675459,0.006703045,0.05745728,0.002341511,0.5306057],"study_design_scores_gemma":[0.0002477091,0.003487769,0.6929338,0.008075159,0.001194316,0.0006736558,0.09923311,0.01790818,0.01237921,0.08014149,0.08335882,0.0003667934],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8416538,0.007632528,0.07076216,0.01460575,0.0001436338,0.001769319,0.000405128,0.0002397895,0.06278793],"genre_scores_gemma":[0.9505215,0.002056733,0.04367281,0.0004310879,0.00003194809,0.0007844296,0.0001029678,0.00002850452,0.002370016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04488176,"threshold_uncertainty_score":0.2373603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2250160206933421,"score_gpt":0.4195555809294237,"score_spread":0.1945395602360815,"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."}}