{"id":"W2409900688","doi":"10.1007/s11518-015-5282-0","title":"Option prioritization for unknown preference","year":2015,"lang":"en","type":"article","venue":"Journal of Systems Science and Systems Engineering","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University; Centre for International Governance Innovation; University of Waterloo","funders":"","keywords":"Preference; Prioritization; Ranking (information retrieval); Computer science; Operations research; Graph; Management science; Mathematics; Artificial intelligence; Engineering; Microeconomics; Economics; Theoretical computer 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":[0.01319491,0.001405832,0.002679394,0.003858144,0.0009961919,0.003775543,0.002554346,0.001818908,0.007503404],"category_scores_gemma":[0.03217627,0.0009874819,0.001952404,0.003379487,0.001318378,0.005213617,0.002514469,0.00304015,0.0005064238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002090866,"about_ca_system_score_gemma":0.001912061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001898718,"about_ca_topic_score_gemma":0.001828819,"domain_scores_codex":[0.990474,0.005516336,0.0004808647,0.0007915086,0.002075099,0.0006620698],"domain_scores_gemma":[0.9737628,0.02252156,0.0006720538,0.0009881642,0.001433927,0.0006215162],"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":[0.001510701,0.0007558501,0.003240645,0.001596709,0.0007856592,0.0005690567,0.0007264373,0.3217719,0.004069387,0.3270953,0.005993379,0.331885],"study_design_scores_gemma":[0.0001025185,0.0002029089,0.0006092247,0.0001009995,0.0001141768,0.0001212277,0.0001089391,0.7843851,0.000854412,0.2120833,0.001270383,0.00004686761],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06734481,0.0008081362,0.9201247,0.0007967013,0.0001219302,0.000296868,0.0002121592,0.0001886992,0.01010608],"genre_scores_gemma":[0.665199,0.0004472703,0.3284784,0.0001927728,0.0001619077,0.0003681565,0.0002661798,0.00009808152,0.004788183],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01319491,"threshold_uncertainty_score":0.06978214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3475162782607092,"score_gpt":0.4047256789177087,"score_spread":0.05720940065699953,"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."}}