{"id":"W4406568210","doi":"10.1016/b978-0-443-22282-5.00006-1","title":"Outranking methods","year":2025,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006298316,0.0004315423,0.0005356485,0.0002289035,0.0001440292,0.0002267948,0.001539338,0.0003978193,0.00004388873],"category_scores_gemma":[0.00002169733,0.0004170483,0.0002810408,0.00002699991,0.00007315243,0.00008279823,0.0004972607,0.0007209372,0.0001266675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006454877,"about_ca_system_score_gemma":0.000302136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.262497e-7,"about_ca_topic_score_gemma":0.000002511166,"domain_scores_codex":[0.9980608,0.00007218575,0.0004602725,0.0007677189,0.0002936949,0.0003453081],"domain_scores_gemma":[0.9982014,0.0001569251,0.0001794529,0.001202532,0.0001388576,0.0001208214],"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":[7.093862e-7,0.000001583077,7.592066e-8,0.00003115446,0.00003215615,0.00001025507,0.00008301473,0.000001570836,0.00000884173,0.3424639,0.0001363181,0.6572304],"study_design_scores_gemma":[0.00006842225,0.00001982906,4.658341e-7,0.0004768186,0.00003818181,0.000008872621,5.26564e-7,0.002724114,0.00008105773,0.2694976,0.7267193,0.0003648378],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[4.255541e-8,0.0009071865,0.4225393,0.0001133065,0.0005417425,0.0001164716,0.00000275446,0.0001958745,0.5755833],"genre_scores_gemma":[0.00004310646,0.00005463659,0.2410514,0.0008108433,0.0001183494,0.00001328294,0.000002589789,0.00002384437,0.7578819],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7265829,"threshold_uncertainty_score":0.9998282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03249834468220981,"score_gpt":0.312612700404799,"score_spread":0.2801143557225892,"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."}}