{"id":"W3045507721","doi":"10.1111/coin.12386","title":"Conditional Preference Networks with User's Genuine Decisions","year":2020,"lang":"en","type":"article","venue":"Computational Intelligence","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Preference; Ceteris paribus; Pareto principle; Net (polyhedron); Outcome (game theory); Preference relation; Relation (database); Computer science; Mathematics; Mathematical optimization; Mathematical economics; Economics; Statistics; Microeconomics; 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":[0.004204507,0.0008345314,0.0007719907,0.001380022,0.0005664615,0.001650814,0.001054989,0.001046214,0.005631897],"category_scores_gemma":[0.01131384,0.0004446537,0.0009360077,0.001487845,0.00174096,0.00344911,0.001516123,0.001513848,0.0003157393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001969209,"about_ca_system_score_gemma":0.0008830517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00419746,"about_ca_topic_score_gemma":0.004471686,"domain_scores_codex":[0.9962754,0.002297456,0.0001395913,0.0004834414,0.0004947633,0.0003093172],"domain_scores_gemma":[0.9919857,0.006028497,0.0006070914,0.0004337226,0.0006211775,0.0003237684],"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":[0.0002828247,0.00009727682,0.002234425,0.0001127382,0.00007573737,0.000176411,0.0001791911,0.716426,0.001013883,0.2518731,0.0009164013,0.02661198],"study_design_scores_gemma":[0.00001377861,0.00004623046,0.0003575262,0.000016658,0.00001493352,0.00002960194,0.00003076313,0.875034,0.0003300095,0.1235126,0.000598494,0.0000153997],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1131217,0.0001560984,0.8758332,0.0004554401,0.00002881027,0.0001045105,0.0003409089,0.0001320791,0.009827372],"genre_scores_gemma":[0.9053859,0.0001405738,0.09100897,0.00008498687,0.00002294498,0.0001865048,0.0002772782,0.00002495737,0.002867919],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005631897,"threshold_uncertainty_score":0.02223587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4358606671887069,"score_gpt":0.4281798976902216,"score_spread":0.00768076949848534,"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."}}