{"id":"W130108282","doi":"10.1007/978-3-642-41687-3_3","title":"Analytic Hierarchy Process to Improve the Evaluation Process in R&amp;D Management System","year":2013,"lang":"en","type":"book-chapter","venue":"Lecture notes in business information processing","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute on Governance","funders":"","keywords":"Analytic hierarchy process; Normalization (sociology); Promotion (chess); Process (computing); Selection (genetic algorithm); Management science; Electric power; Risk analysis (engineering); Computer science; Process management; Work (physics); Quality (philosophy); Operations research; Engineering; Power (physics); Business; Artificial intelligence; Political science","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":[0.01028397,0.0009325645,0.001210077,0.002927734,0.001486233,0.003927796,0.001551973,0.001073667,0.003912273],"category_scores_gemma":[0.02397291,0.000494038,0.001072344,0.005086903,0.0007472435,0.003626357,0.00189987,0.002262135,0.001020544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001914912,"about_ca_system_score_gemma":0.005322609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009587322,"about_ca_topic_score_gemma":0.008112678,"domain_scores_codex":[0.9890158,0.00559159,0.0006425976,0.0005230724,0.003917722,0.0003093494],"domain_scores_gemma":[0.9901205,0.005572743,0.0004534232,0.000550151,0.003141391,0.0001617392],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002146486,0.0002872562,0.001878436,0.000896114,0.0002639351,0.0001302771,0.0009463254,0.07101159,0.00373598,0.07668064,0.01438787,0.8295669],"study_design_scores_gemma":[0.00008522951,0.0002204067,0.002045429,0.0002687358,0.0002491571,0.00007186838,0.0004264604,0.8293875,0.0078701,0.1421318,0.01717681,0.00006651838],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008350198,0.001743573,0.9822655,0.0006410854,0.0001419157,0.0002799772,0.000189089,0.0008520682,0.005536631],"genre_scores_gemma":[0.1122378,0.0008304528,0.8842617,0.0001633999,0.00007405423,0.0002854976,0.0003532571,0.0001417025,0.00165207],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01028397,"threshold_uncertainty_score":0.05438751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09545646247321421,"score_gpt":0.3966426795963825,"score_spread":0.3011862171231683,"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."}}