{"id":"W2990034237","doi":"10.1109/smc.2019.8914046","title":"Constrained LP-trees","year":2019,"lang":"en","type":"article","venue":"","topic":"Constraint Satisfaction and Optimization","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Lexicographical order; Outcome (game theory); Tree (set theory); Mathematical optimization; Computer science; Preference; Search tree; Set (abstract data type); Mathematics; Search algorithm; Combinatorics; Statistics; Mathematical 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":[0.002238643,0.001385518,0.001004459,0.0009667556,0.0009150861,0.002143392,0.001222769,0.001322393,0.0181985],"category_scores_gemma":[0.009640306,0.0006630199,0.001402602,0.001940926,0.001047071,0.003066347,0.002016405,0.003138135,0.002313517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001131658,"about_ca_system_score_gemma":0.001971586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002725132,"about_ca_topic_score_gemma":0.004401396,"domain_scores_codex":[0.9982158,0.000760384,0.000105317,0.0002912272,0.0004185019,0.0002088288],"domain_scores_gemma":[0.9958204,0.003168689,0.0002198334,0.0001704302,0.0005056522,0.0001149558],"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":[0.000150455,0.0001341719,0.0008131826,0.0006094949,0.0000792182,0.0003377307,0.0002305629,0.3506482,0.001411319,0.5257546,0.01754474,0.1022863],"study_design_scores_gemma":[0.00003361826,0.00004871461,0.00009248024,0.00007387857,0.00002267221,0.0001032442,0.00007541972,0.5107391,0.0006524292,0.4760182,0.01212193,0.00001826651],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005422434,0.0003868548,0.9783583,0.0004979201,0.00006438921,0.0001435198,0.0006650925,0.0002225114,0.01423894],"genre_scores_gemma":[0.1959241,0.001549807,0.78109,0.0009346777,0.000189734,0.001049762,0.002957318,0.0004942938,0.01581032],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0181985,"threshold_uncertainty_score":0.06088001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006319064842535145,"score_gpt":0.2086475164426546,"score_spread":0.2023284516001194,"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."}}