{"id":"W2965757681","doi":"10.1609/socs.v10i1.18512","title":"Error Analysis and Correction for Weighted A*’s Suboptimality","year":2021,"lang":"en","type":"article","venue":"Proceedings of the International Symposium on Combinatorial Search","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Universidad Carlos III de Madrid","keywords":"Heuristics; Variety (cybernetics); Upper and lower bounds; Mathematics; Mathematical optimization; Computer science; Scale (ratio); Branch and bound; Algorithm; Statistics; Mathematical analysis; Physics","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":[0.006984164,0.001205159,0.001299454,0.001711848,0.001480872,0.001720727,0.002450473,0.001515175,0.004751198],"category_scores_gemma":[0.08699933,0.0006231269,0.001083547,0.001971524,0.001775264,0.002772704,0.002560637,0.003222825,0.0008454528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001819237,"about_ca_system_score_gemma":0.00400497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007019054,"about_ca_topic_score_gemma":0.007853009,"domain_scores_codex":[0.9916314,0.002799229,0.0005740701,0.001364601,0.002945593,0.0006850534],"domain_scores_gemma":[0.9357987,0.04114236,0.003565174,0.01062279,0.008280143,0.0005908008],"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":[0.0006657817,0.0002813769,0.007677266,0.0004812369,0.0001892518,0.0002847833,0.0006481675,0.632423,0.01122898,0.07436014,0.007907077,0.263853],"study_design_scores_gemma":[0.00006349607,0.0001673156,0.001086472,0.00007731256,0.00004605555,0.0001656597,0.0001926202,0.9470377,0.008894886,0.03832823,0.003899383,0.0000408777],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07242705,0.000492521,0.916784,0.0008702995,0.0003011439,0.0001984306,0.0001597892,0.001789842,0.006976806],"genre_scores_gemma":[0.4585541,0.0001783628,0.5372888,0.0002614071,0.0000471154,0.0002873628,0.0002237492,0.0005115933,0.002647497],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007019054,"threshold_uncertainty_score":0.03693622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0169845282633852,"score_gpt":0.2713468938108689,"score_spread":0.2543623655474837,"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."}}