{"id":"W4361002030","doi":"10.1016/j.ins.2023.03.110","title":"Priority ranking for the best-worst method","year":2023,"lang":"en","type":"article","venue":"Information Sciences","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":44,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Fundamental Research Funds for the Central Universities; Sichuan University; National Natural Science Foundation of China","keywords":"Pairwise comparison; Prioritization; Consistency (knowledge bases); Ranking (information retrieval); Logarithm; Computer science; Mathematical optimization; Simple (philosophy); Monte Carlo method; Mathematics; Statistics; Machine learning; Artificial intelligence; Management 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":[0.01572964,0.001739797,0.003315726,0.007362675,0.002411143,0.005567928,0.002523473,0.002128492,0.01154368],"category_scores_gemma":[0.03742091,0.0006899839,0.002480373,0.004151356,0.001905356,0.003846627,0.00216904,0.003342411,0.001331681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002544475,"about_ca_system_score_gemma":0.004374257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00373313,"about_ca_topic_score_gemma":0.004121251,"domain_scores_codex":[0.9803477,0.01220931,0.0008509398,0.001279961,0.004424214,0.000887874],"domain_scores_gemma":[0.9810052,0.01298413,0.0005759369,0.001366924,0.003368494,0.0006992444],"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":[0.0009406234,0.0004382811,0.002833354,0.001468191,0.0006433562,0.0001612365,0.000324495,0.151343,0.001895285,0.3174726,0.0188538,0.5036258],"study_design_scores_gemma":[0.0001706077,0.0003543696,0.0008212429,0.000209711,0.0002331109,0.0002530452,0.0001444068,0.5930197,0.001596579,0.3932939,0.009799354,0.0001039914],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005193076,0.0009818783,0.985782,0.0005191726,0.0002618138,0.0001322026,0.0001155095,0.0002270318,0.006787302],"genre_scores_gemma":[0.1649332,0.0006574573,0.8292431,0.0002635816,0.0002494888,0.0002323138,0.0003212584,0.0001927661,0.00390684],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01572964,"threshold_uncertainty_score":0.08318728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4236034101262344,"score_gpt":0.5537606757160536,"score_spread":0.1301572655898192,"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."}}