{"id":"W4408288129","doi":"10.1287/deca.2024.0207","title":"A Bayesian Analysis Framework for Decision Making with Interval Pairwise Comparison Judgments","year":2025,"lang":"en","type":"article","venue":"Decision Analysis","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Pairwise comparison; Bayesian probability; Decision analysis; Decision theory; Interval (graph theory); Bayesian statistics; Computer science; Credible interval; Econometrics; Mathematical economics; Artificial intelligence; Mathematics; Bayesian inference; Statistics; Machine learning; Combinatorics","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":[0.02086128,0.001962374,0.001986561,0.003513987,0.00134182,0.004315505,0.003656246,0.001777223,0.008204158],"category_scores_gemma":[0.03540449,0.001118096,0.00232818,0.003954699,0.002761072,0.005898378,0.00226607,0.004724953,0.00161367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003774246,"about_ca_system_score_gemma":0.004724627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006387089,"about_ca_topic_score_gemma":0.006692687,"domain_scores_codex":[0.9844744,0.00990255,0.0006213491,0.001543108,0.003055765,0.0004028975],"domain_scores_gemma":[0.9830678,0.01289749,0.001005579,0.0006379121,0.002054812,0.0003363351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004213202,0.00006970485,0.0004207004,0.0002871665,0.0001219819,0.000112071,0.0003399598,0.0947358,0.0005521556,0.8444832,0.002655881,0.05617928],"study_design_scores_gemma":[0.00002335039,0.0000396283,0.0002542805,0.00009406279,0.00003941997,0.00005897818,0.00004471173,0.3119381,0.0002218673,0.6826991,0.004537056,0.00004944038],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0005531849,0.000203674,0.9972098,0.0002199989,0.00002140446,0.00004994326,0.00006094896,0.00003570894,0.00164531],"genre_scores_gemma":[0.08236974,0.001036675,0.9133682,0.0002395461,0.000218508,0.0007115295,0.0002989756,0.00007010165,0.001686725],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02086128,"threshold_uncertainty_score":0.1103263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09914625328407649,"score_gpt":0.4823816967058079,"score_spread":0.3832354434217314,"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."}}