{"id":"W2167451609","doi":"10.1016/j.ejor.2014.03.036","title":"A new distance measure including the weak preference relation: Application to the multiple criteria aggregation procedure for mixed evaluations","year":2014,"lang":"en","type":"article","venue":"European Journal of Operational Research","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; University of Ottawa; Wilfrid Laurier University","funders":"","keywords":"Measure (data warehouse); Preference; Ambiguity; Relation (database); Preference relation; Mathematics; Computer science; Econometrics; Statistics; Data mining","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":[0.0119983,0.001186098,0.002735195,0.004405903,0.001060677,0.003010266,0.001863546,0.001763688,0.001891999],"category_scores_gemma":[0.0310305,0.000515317,0.002267224,0.004852471,0.001252791,0.004509463,0.003202561,0.002791004,0.0004374266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001346271,"about_ca_system_score_gemma":0.002370524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001257266,"about_ca_topic_score_gemma":0.001269322,"domain_scores_codex":[0.9894481,0.00514752,0.001020739,0.0008303212,0.003374484,0.0001788725],"domain_scores_gemma":[0.9830775,0.01009977,0.0009786439,0.001326223,0.004097894,0.0004200137],"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":[0.0003726297,0.0004047303,0.002269351,0.001033184,0.0007819564,0.0001680235,0.0005514846,0.08460604,0.01295145,0.1491596,0.003325507,0.7443759],"study_design_scores_gemma":[0.00008359442,0.0008801037,0.002703333,0.0001647418,0.0002927897,0.0004065979,0.0001292052,0.8804955,0.005112352,0.1028425,0.006674744,0.0002144536],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005431766,0.0002844229,0.9934028,0.00008675261,0.00008155034,0.00005681979,0.00004011467,0.0000661258,0.0005495409],"genre_scores_gemma":[0.1024379,0.00028371,0.8957626,0.00006747926,0.0001294845,0.0002873844,0.0001180356,0.00008661707,0.0008268867],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0119983,"threshold_uncertainty_score":0.06345379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4912025271862377,"score_gpt":0.522083046585105,"score_spread":0.03088051939886721,"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."}}