{"id":"W4412508555","doi":"10.1609/socs.v18i1.35996","title":"Reevaluation of Large Neighborhood Search for MAPF: Findings and Opportunities","year":2025,"lang":"en","type":"article","venue":"Proceedings of the International Symposium on Combinatorial Search","topic":"Optimization and Search Problems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Simon Fraser University","funders":"","keywords":"Psychology; Sociology","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":[0.005087178,0.0009525779,0.001722031,0.001140489,0.0008883635,0.002103368,0.003562089,0.0020065,0.002928708],"category_scores_gemma":[0.02961935,0.0004572684,0.0009568785,0.001222077,0.001387382,0.003772085,0.001882492,0.002551995,0.0007246089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00165361,"about_ca_system_score_gemma":0.003180887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01117084,"about_ca_topic_score_gemma":0.01095359,"domain_scores_codex":[0.9967312,0.001335797,0.0001205854,0.0004874492,0.001096144,0.0002289292],"domain_scores_gemma":[0.9866503,0.009490016,0.0003951971,0.001574656,0.001500348,0.0003893723],"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":[0.0003463073,0.0004964211,0.005388392,0.0009959551,0.0002000835,0.0001655372,0.0003116799,0.4671326,0.001655755,0.06734271,0.01228335,0.4436812],"study_design_scores_gemma":[0.00005635554,0.000190989,0.0004823774,0.0001568068,0.00004122021,0.0001177965,0.000136891,0.9704289,0.001090075,0.019417,0.007859536,0.00002206302],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08713965,0.02119346,0.8635433,0.003492207,0.0007814094,0.0003625507,0.0004085261,0.00319568,0.01988325],"genre_scores_gemma":[0.4909289,0.00541151,0.4981817,0.000715112,0.0002933457,0.000261681,0.0007445589,0.0007416851,0.002721585],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01117084,"threshold_uncertainty_score":0.02690393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03636055977328928,"score_gpt":0.3097754427812473,"score_spread":0.273414883007958,"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."}}