{"id":"W2964774113","doi":"10.24963/ijcai.2019/900","title":"Conditional Preference Network with Constraints and Uncertainty","year":2019,"lang":"en","type":"article","venue":"","topic":"Constraint Satisfaction and Optimization","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Preference; Ceteris paribus; Computer science; Net (polyhedron); Probabilistic logic; Extension (predicate logic); Stochastic dominance; Semantics (computer science); Preference relation; Graphical model; Set (abstract data type); Theoretical computer science; Artificial intelligence; Mathematical optimization; Mathematics; Economics; Programming language; Microeconomics; Statistics","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":[0.00379048,0.0008535636,0.0008792145,0.001534547,0.0007722151,0.002280757,0.001848863,0.001289332,0.007267097],"category_scores_gemma":[0.01213566,0.0006199394,0.001351291,0.002999709,0.001801723,0.006709781,0.001825967,0.002171823,0.0005622221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002774739,"about_ca_system_score_gemma":0.001254808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008113312,"about_ca_topic_score_gemma":0.007824624,"domain_scores_codex":[0.9964777,0.001664287,0.0001992532,0.0006667111,0.0007763191,0.0002158791],"domain_scores_gemma":[0.99418,0.004099103,0.0004661611,0.0004661113,0.0005724458,0.0002162816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001790245,0.00003972887,0.0008861041,0.0001559747,0.00007851992,0.000272355,0.000169186,0.3295376,0.0006845271,0.6381229,0.001620932,0.02825326],"study_design_scores_gemma":[0.0000162065,0.00002126859,0.0001783379,0.00002077489,0.00002234812,0.0000876966,0.00003230229,0.6545761,0.0003136938,0.342184,0.002529032,0.00001827307],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01964789,0.0002299961,0.9716822,0.0006185718,0.00003176052,0.00006744253,0.0005241756,0.0001537237,0.007044307],"genre_scores_gemma":[0.6470679,0.0008049176,0.3398643,0.0003108352,0.0001010248,0.0003748005,0.001195416,0.00008532446,0.01019543],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008113312,"threshold_uncertainty_score":0.02431083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01030043273175417,"score_gpt":0.193895117572089,"score_spread":0.1835946848403349,"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."}}