{"id":"W4379507472","doi":"10.1007/978-3-031-30403-3_4","title":"Preferential Voting Based on Data Envelopment Analysis","year":2023,"lang":"en","type":"book-chapter","venue":"Studies in systems, decision and control","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Voting; Data envelopment analysis; Computer science; Decision maker; Process (computing); Operations research; Artificial intelligence; Mathematics; Political science; Statistics; Law","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"],"consensus_categories":[],"category_scores_codex":[0.01325993,0.0006654633,0.002880272,0.00361271,0.0004349012,0.0005273608,0.002118142,0.0003599696,0.000129617],"category_scores_gemma":[0.008261455,0.0004611126,0.0004284565,0.001235771,0.0003214974,0.0001345003,0.001129204,0.0005038209,0.0005906157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002000226,"about_ca_system_score_gemma":0.0001454335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004412595,"about_ca_topic_score_gemma":0.0007470357,"domain_scores_codex":[0.9890115,0.0004641132,0.003016811,0.002444159,0.004575617,0.0004878376],"domain_scores_gemma":[0.9808469,0.01410634,0.001299186,0.002853207,0.0007403404,0.0001540256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002585593,0.0005489257,0.01717645,0.0003959106,0.02698162,0.001160283,0.003122621,0.2378734,0.0000171636,0.06142866,0.146807,0.5019024],"study_design_scores_gemma":[0.003593057,0.0002065091,0.002329453,0.002241246,0.003509934,0.000004838686,0.002045886,0.8272033,7.079229e-7,0.006724364,0.1507128,0.001427895],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003790671,0.07764214,0.401508,0.003553407,0.0328379,0.01024944,0.005660194,0.00125191,0.4635063],"genre_scores_gemma":[0.8938392,0.0006273176,0.0001745863,0.000255818,0.0002777131,0.00004225345,0.00008960593,0.00005884625,0.1046347],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8900485,"threshold_uncertainty_score":0.9997841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3050634389124492,"score_gpt":0.4375461274072972,"score_spread":0.132482688494848,"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."}}