{"id":"W4399157307","doi":"10.1609/icaps.v34i1.31480","title":"JaxPlan and GurobiPlan: Optimization Baselines for Replanning in Discrete and Mixed Discrete-Continuous Probabilistic Domains","year":2024,"lang":"en","type":"article","venue":"Proceedings of the International Conference on Automated Planning and Scheduling","topic":"Logic, Reasoning, and Knowledge","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Probabilistic logic; Solver; Computer science; Discrete optimization; Computation; Mathematical optimization; Discrete time and continuous time; Graph; Theoretical computer science; Optimization problem; Algorithm; Artificial intelligence; Mathematics; Programming language","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":[0.002277714,0.001770772,0.001006385,0.0009158938,0.0007379766,0.002014028,0.001966956,0.001022488,0.01016136],"category_scores_gemma":[0.007339369,0.0007924802,0.001320187,0.001235272,0.001227606,0.002021053,0.002192212,0.003475944,0.001329362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001562646,"about_ca_system_score_gemma":0.003726919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007069245,"about_ca_topic_score_gemma":0.0123587,"domain_scores_codex":[0.9982404,0.0006520956,0.00009045774,0.0002684111,0.0005212259,0.000227496],"domain_scores_gemma":[0.997447,0.001452285,0.0001540637,0.0004728501,0.000319653,0.0001541888],"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":[0.0002996615,0.0001380656,0.0006604031,0.0003929692,0.0000714238,0.00007585171,0.00007443471,0.8802984,0.00110892,0.04069551,0.01076504,0.06541933],"study_design_scores_gemma":[0.00007405868,0.0001276218,0.0002318563,0.00006132254,0.00002158034,0.00003800181,0.00005784017,0.9700626,0.00157087,0.0175297,0.01020451,0.00002007599],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06075573,0.002522929,0.8590733,0.001355992,0.0005804761,0.0003946449,0.002595197,0.01205577,0.06066606],"genre_scores_gemma":[0.3645466,0.0009678827,0.620433,0.000493999,0.00006161185,0.0006883207,0.003974511,0.002639771,0.006194269],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01016136,"threshold_uncertainty_score":0.03399318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02506256461911805,"score_gpt":0.2850791994744242,"score_spread":0.2600166348553061,"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."}}