{"id":"W2904082109","doi":"10.1109/ictai.2018.00056","title":"Constrained Optimization with Preferentially Ordered Outcomes","year":2018,"lang":"en","type":"article","venue":"","topic":"Constraint Satisfaction and Optimization","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Ceteris paribus; Mathematical optimization; Net (polyhedron); Preference; Computer science; Extension (predicate logic); Pareto principle; Set (abstract data type); Stochastic dominance; Constrained optimization; Mathematics; Statistics; Economics","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":[0.001812948,0.001218964,0.001003145,0.0005704244,0.0004554702,0.001219551,0.0009625124,0.0008926695,0.006807693],"category_scores_gemma":[0.004280864,0.000501833,0.0009396067,0.001121109,0.0008993547,0.001676712,0.001544569,0.001329851,0.0003944066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001534406,"about_ca_system_score_gemma":0.001697861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004538682,"about_ca_topic_score_gemma":0.005353012,"domain_scores_codex":[0.9987866,0.0006130516,0.00004728405,0.0002201711,0.000181066,0.0001518399],"domain_scores_gemma":[0.9983925,0.001172856,0.000118648,0.0001071821,0.0001441062,0.00006463859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001348532,0.00006789475,0.0005055608,0.0001613793,0.00005888008,0.0001662755,0.00005988092,0.8439703,0.001252381,0.128493,0.001657084,0.02347258],"study_design_scores_gemma":[0.00002470806,0.00003288015,0.0001229401,0.00001665251,0.00001337123,0.0000231778,0.00002863513,0.914668,0.0005005747,0.08358246,0.0009769734,0.000009585997],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03778025,0.0002024971,0.9467077,0.0003756875,0.00003403947,0.000120305,0.0003725949,0.0001260493,0.01428094],"genre_scores_gemma":[0.6153621,0.0003540147,0.371852,0.0002490781,0.00003290768,0.0006427344,0.0007297997,0.0001511077,0.01062628],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006807693,"threshold_uncertainty_score":0.02277398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009887388673829456,"score_gpt":0.2254365206950939,"score_spread":0.2155491320212645,"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."}}