{"id":"W4382866836","doi":"10.1609/icaps.v33i1.27175","title":"W-restrained Bidirectional Bounded-Suboptimal Heuristic Search","year":2023,"lang":"en","type":"article","venue":"Proceedings of the International Conference on Automated Planning and Scheduling","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"United States-Israel Binational Science Foundation; Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research","keywords":"Bounded function; Heuristic; Property (philosophy); Search algorithm; Mathematical optimization; Computer science; Algorithm; Mathematics; Discrete mathematics; Combinatorics; Mathematical analysis; Philosophy","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0008319244,0.0001402846,0.0001549329,0.0003736123,0.0002467165,0.0005016343,0.001116236,0.00006734204,0.00003344408],"category_scores_gemma":[0.0007089628,0.0001118506,0.00004878519,0.0007194297,0.0001105543,0.0002666334,0.0004261502,0.000302328,0.00002960515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004108703,"about_ca_system_score_gemma":0.0001435711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001258605,"about_ca_topic_score_gemma":1.313188e-7,"domain_scores_codex":[0.9981355,0.00001968885,0.0002925618,0.0003642888,0.0009220506,0.0002659024],"domain_scores_gemma":[0.9988183,0.0001786453,0.0001415794,0.0001134476,0.0006559434,0.00009209955],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001788568,0.0001969084,0.01743549,0.0002190603,0.0003574357,0.00003463581,0.002823078,0.07570907,0.04652668,0.8450784,0.004250721,0.007189674],"study_design_scores_gemma":[0.0002439577,0.00004288448,0.007382466,0.0001816641,0.000003795018,0.00002712137,0.0001662593,0.9862662,0.003004163,0.002508057,0.0000609062,0.0001125036],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9575037,0.00003319004,0.01352212,0.007943454,0.0009611915,0.0002861756,0.00002316243,0.001574183,0.01815286],"genre_scores_gemma":[0.9659261,0.00002297535,0.0330705,0.00007174347,0.0000601926,0.00001338658,0.000006860485,0.00001139477,0.0008169224],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9105572,"threshold_uncertainty_score":0.4837271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0726040891907504,"score_gpt":0.3367700420719623,"score_spread":0.2641659528812119,"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."}}