{"id":"W166300487","doi":"10.1007/978-3-319-07467-2_3","title":"Variable Ordering and Constraint Propagation for Constrained CP-Nets","year":2014,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Constraint Satisfaction and Optimization","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"","keywords":"Constraint (computer-aided design); Variable (mathematics); Computer science; Mathematics; Geometry; Mathematical analysis","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":[0.0008063754,0.0003616241,0.0003816256,0.0004858586,0.0002836722,0.0005474306,0.0006798832,0.0002464745,0.00002888705],"category_scores_gemma":[0.0001813516,0.000355831,0.00005708343,0.0002741903,0.0007698026,0.0003660695,0.0003133556,0.0003257949,0.000004838557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001369953,"about_ca_system_score_gemma":0.0005628013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009155928,"about_ca_topic_score_gemma":0.00003610964,"domain_scores_codex":[0.9976427,0.00002380595,0.0004431824,0.001073414,0.0003974054,0.000419507],"domain_scores_gemma":[0.9982726,0.0004890978,0.0002662362,0.0005252835,0.0003021119,0.0001446893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003506384,0.000005299511,0.0000211811,0.00004871176,0.000007113263,0.000003396355,0.0001734197,0.02551523,0.0002443205,0.2704747,0.000008826319,0.7034943],"study_design_scores_gemma":[0.0004622031,0.000123699,0.0000476881,0.0002382573,0.000007847971,0.0001093853,2.376566e-7,0.8969752,0.0004348763,0.09933507,0.001824705,0.0004408963],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00001875286,0.00005936565,0.9939651,0.0009016556,0.000959471,0.0007647105,0.000008034712,0.0001632952,0.00315954],"genre_scores_gemma":[0.08912737,0.0000156895,0.9094343,0.0009992694,0.0001701635,0.00002143306,0.00001165557,0.0000221409,0.0001979436],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8714599,"threshold_uncertainty_score":0.9998894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0120715280434863,"score_gpt":0.2255178380213431,"score_spread":0.2134463099778569,"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."}}