{"id":"W7133416183","doi":"","title":"Progressive exploration of preferential information in multicriteria decision aid (CEG-IST Research Paper 17/2001, Lisboa)","year":2001,"lang":"en","type":"preprint","venue":"ORBi UMONS","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Moncton","funders":"","keywords":"Complete information; Information system; Decision support system; Decision analysis; Decision theory","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":["metaresearch","metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.01130621,0.0006173046,0.001226008,0.004007307,0.0003310685,0.002063001,0.002920221,0.0009621128,0.003961498],"category_scores_gemma":[0.02105588,0.000518337,0.0003645542,0.002479024,0.0004157939,0.004722108,0.00389686,0.001759319,0.0008828748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004121377,"about_ca_system_score_gemma":0.0006474375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004744632,"about_ca_topic_score_gemma":0.0008693265,"domain_scores_codex":[0.9850329,0.001780365,0.004017513,0.001460824,0.006671859,0.001036597],"domain_scores_gemma":[0.9876663,0.003769682,0.001635259,0.002899665,0.003698461,0.0003306496],"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":[0.004596025,0.002032619,0.01078204,0.0003487194,0.0001230757,0.0003033093,0.02605922,0.02286281,0.01075162,0.001286474,0.2096318,0.7112222],"study_design_scores_gemma":[0.01202492,0.0009401871,0.07360891,0.0088156,0.0001394234,0.000112229,0.01353376,0.1926806,0.006952768,0.2666491,0.4208197,0.003722758],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.932014,0.0004003132,0.04784206,0.001576883,0.004156033,0.004165369,0.0005552024,0.0001556863,0.00913446],"genre_scores_gemma":[0.9648885,0.0003227282,0.03264537,0.00008124638,0.0003967482,0.0004807973,0.0003765295,0.0000640131,0.0007440231],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7074995,"threshold_uncertainty_score":0.999895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3631001935917957,"score_gpt":0.5007283708522888,"score_spread":0.1376281772604931,"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."}}