{"id":"W4406568207","doi":"10.1016/b978-0-443-22282-5.00002-4","title":"Introduction to multicriteria decision-making","year":2025,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Management science; Engineering","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":[0.001198554,0.001226409,0.001036712,0.001126838,0.0003921417,0.001987442,0.0009056777,0.000914067,0.03921695],"category_scores_gemma":[0.0025878,0.0005488629,0.0008336604,0.002155019,0.0008057907,0.00161583,0.001113654,0.002078221,0.008101758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001023352,"about_ca_system_score_gemma":0.001027183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009471682,"about_ca_topic_score_gemma":0.001768927,"domain_scores_codex":[0.9992951,0.0002222409,0.00005408985,0.00009284441,0.0003028926,0.00003279445],"domain_scores_gemma":[0.9986423,0.001027512,0.00003979232,0.00008161389,0.0001807009,0.00002812673],"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":[0.00002715381,0.00006305935,0.0001310195,0.0009082655,0.00006001622,0.0001382405,0.0002097853,0.02315327,0.0009039578,0.3957675,0.08513416,0.4935036],"study_design_scores_gemma":[0.000009729501,0.00003914414,0.0002429169,0.0006401731,0.00002089653,0.0002621629,0.00007677232,0.02313308,0.0005539988,0.5613582,0.4136332,0.00002970894],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.001463666,0.03079686,0.6366718,0.003123638,0.002124512,0.0001178748,0.0005087118,0.0005037581,0.3246891],"genre_scores_gemma":[0.05957125,0.04035532,0.6227194,0.001780555,0.002210685,0.0005170543,0.0007625839,0.0004577243,0.2716255],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.03921695,"threshold_uncertainty_score":0.1311937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05516151838708886,"score_gpt":0.3832733366301606,"score_spread":0.3281118182430717,"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."}}