{"id":"W2610826421","doi":"","title":"An Empirical Study of Probabilistic Arc Consistency as a Variable Ordering Heuristic","year":2007,"lang":"en","type":"article","venue":"","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Heuristics; Computer science; Constraint satisfaction problem; Heuristic; Local consistency; Consistency (knowledge bases); Probabilistic logic; Constructive; Consistent heuristic; Constraint (computer-aided design); Constraint satisfaction; Mathematical optimization; Null-move heuristic; Variable (mathematics); Algorithm; Incremental heuristic search; Artificial intelligence; Search algorithm; Beam search; Mathematics; Process (computing)","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":[0.03697089,0.0008833787,0.0008545012,0.002767904,0.001244178,0.002411549,0.003387474,0.001946446,0.003023232],"category_scores_gemma":[0.2757156,0.0007652124,0.0006991096,0.004784489,0.002936704,0.004197637,0.001529652,0.002697555,0.0003828274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003593932,"about_ca_system_score_gemma":0.002300794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005224634,"about_ca_topic_score_gemma":0.00592834,"domain_scores_codex":[0.9608191,0.02863571,0.001611725,0.002057049,0.006194734,0.000681764],"domain_scores_gemma":[0.365007,0.5802672,0.01545063,0.02857279,0.009497735,0.001204713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003508203,0.002413057,0.1189741,0.001524794,0.0007526946,0.0003490889,0.002289705,0.5450906,0.003198474,0.03244777,0.007628715,0.2818228],"study_design_scores_gemma":[0.000312265,0.001324182,0.01683551,0.0001403442,0.0001977767,0.0004275383,0.0006551641,0.9577839,0.003164072,0.01532035,0.003754172,0.00008472879],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8540902,0.00243294,0.1300011,0.0009935615,0.0001103084,0.0008231872,0.001176411,0.001072663,0.00929984],"genre_scores_gemma":[0.9248573,0.0002632869,0.07298978,0.00008866164,0.00002624995,0.0003473095,0.0007487935,0.0001878188,0.000490789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03697089,"threshold_uncertainty_score":0.1955231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05140910593469572,"score_gpt":0.3127977701720915,"score_spread":0.2613886642373958,"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."}}