{"id":"W2578195970","doi":"10.1609/socs.v7i1.18399","title":"Extended Abstract: An Improved Priority Function for Bidirectional Heuristic Search","year":2021,"lang":"en","type":"article","venue":"Proceedings of the International Symposium on Combinatorial Search","topic":"Optimization and Search Problems","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Bidirectional search; Correctness; Heuristic; Node (physics); Incremental heuristic search; Computer science; Search algorithm; State (computer science); Function (biology); Sketch; Best-first search; Algorithm; Evaluation function; Beam search; Search problem; Mathematical optimization; Mathematics; Artificial intelligence; Engineering","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":[0.003858784,0.001198641,0.001113544,0.001456871,0.001012153,0.002751211,0.003434717,0.001753214,0.01513141],"category_scores_gemma":[0.01866078,0.0005452702,0.001250952,0.001821003,0.001105042,0.004889645,0.003656002,0.002938868,0.004096679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00169076,"about_ca_system_score_gemma":0.002653147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002452581,"about_ca_topic_score_gemma":0.002630336,"domain_scores_codex":[0.99725,0.0008004065,0.0002239052,0.000461066,0.0008769904,0.0003876878],"domain_scores_gemma":[0.9926569,0.002841168,0.0004964552,0.002015524,0.001532109,0.0004578963],"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":[0.0008371648,0.0003542215,0.002167278,0.0006704299,0.00007299765,0.0001830961,0.0003217841,0.1202116,0.01211627,0.2833864,0.02688155,0.5527974],"study_design_scores_gemma":[0.0001451388,0.0003020021,0.0006787959,0.00009402561,0.00004984004,0.0002615415,0.00008016073,0.7547575,0.007146175,0.2098183,0.02659903,0.0000674494],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0120755,0.0005490721,0.9713093,0.0006353659,0.0003186975,0.0001953417,0.0003608575,0.002138602,0.01241721],"genre_scores_gemma":[0.286298,0.0004096052,0.7003579,0.0005879131,0.0003258145,0.0004003261,0.0006959846,0.000896794,0.01002768],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01513141,"threshold_uncertainty_score":0.0506196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0221530892811855,"score_gpt":0.2849638744097227,"score_spread":0.2628107851285372,"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."}}