{"id":"W2340938217","doi":"10.3138/infor.53.2.68","title":"A Synthesis of Information Imperfection Representations for Decision Aid","year":2015,"lang":"en","type":"article","venue":"INFOR Information Systems and Operational Research","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; Wilfrid Laurier University; Université Laval; University of Ottawa","funders":"","keywords":"Rotation formalisms in three dimensions; Representation (politics); Computer science; Fuzzy set; Set (abstract data type); Fuzzy logic; Quality (philosophy); Possibility theory; Decision theory; Process (computing); Theoretical computer science; Artificial intelligence; Mathematics; Epistemology; Programming language","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.01944966,0.0001557942,0.0003560175,0.002105074,0.0005319277,0.002239285,0.0005090298,0.0001725726,0.00006849389],"category_scores_gemma":[0.06605408,0.0001186606,0.00009847022,0.001357576,0.00014838,0.01084333,0.0002354226,0.0001791095,0.0004061048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001607502,"about_ca_system_score_gemma":0.0005906124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003617264,"about_ca_topic_score_gemma":0.00001876253,"domain_scores_codex":[0.9923841,0.0003297819,0.002364629,0.000214201,0.004389502,0.0003177412],"domain_scores_gemma":[0.9802045,0.008280559,0.0005425968,0.0005465877,0.0101553,0.0002705054],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002228655,0.00009233539,0.009514526,0.0002329643,0.00007895372,7.544614e-7,0.0140743,0.05513928,0.0003550021,0.2623017,0.1658104,0.4901712],"study_design_scores_gemma":[0.002155621,0.0002850653,0.006056844,0.0001925912,0.000009649115,0.0000528726,0.02034153,0.3635554,0.0009204683,0.006302478,0.5998514,0.000276147],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2571909,0.0001802121,0.7052773,0.001090817,0.002200233,0.004667499,0.000917274,0.00009120364,0.02838449],"genre_scores_gemma":[0.9879572,0.00001828517,0.01084947,0.00009856174,0.0001325557,0.0005749745,0.00009677882,0.000007485924,0.0002646674],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7307663,"threshold_uncertainty_score":0.9987965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3133133209081262,"score_gpt":0.51133571328008,"score_spread":0.1980223923719538,"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."}}