{"id":"W2061574106","doi":"10.1142/s0219622012400032","title":"DECISION THEORY WITH IMPRECISE PROBABILITIES","year":2012,"lang":"en","type":"article","venue":"International Journal of Information Technology & Decision Making","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Fuzzy logic; Computer science; Expected utility hypothesis; Decision theory; Optimal decision; Representation (politics); Decision rule; Fuzzy measure theory; Function (biology); Decision analysis; Fuzzy set; Mathematical optimization; Mathematics; Artificial intelligence; Fuzzy number; Mathematical economics; Decision tree; Statistics","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":[0.008640175,0.001557653,0.001994983,0.003010061,0.001107563,0.005880185,0.001970217,0.002056978,0.003830341],"category_scores_gemma":[0.01646987,0.0007622121,0.002077537,0.003310284,0.006798191,0.006835771,0.002507776,0.004478647,0.0008048774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003755541,"about_ca_system_score_gemma":0.001916637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001971439,"about_ca_topic_score_gemma":0.001023078,"domain_scores_codex":[0.9892152,0.005741874,0.0005803762,0.0009939665,0.003018291,0.0004503311],"domain_scores_gemma":[0.9876634,0.0100131,0.0006544996,0.0006516163,0.0008169223,0.0002004407],"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":[0.000007204896,0.000007468707,0.00006768048,0.00008483983,0.0000235,0.00004695092,0.00008230325,0.02757203,0.00005310539,0.9662099,0.0003965201,0.005448558],"study_design_scores_gemma":[0.000007013905,0.000009923467,0.00003722246,0.00004407236,0.00000891329,0.00003235162,0.00001989874,0.0403235,0.00004509015,0.9568336,0.002629274,0.000009086376],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00609874,0.006214445,0.9648585,0.002014347,0.0002064126,0.00006948341,0.0001742886,0.00006341081,0.0203004],"genre_scores_gemma":[0.6030468,0.01615202,0.3681291,0.0008307454,0.0014472,0.0006409694,0.0003794913,0.00006341296,0.009310076],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008640175,"threshold_uncertainty_score":0.04569411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03434845697427742,"score_gpt":0.3850031714941753,"score_spread":0.3506547145198979,"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."}}