{"id":"W7051860080","doi":"","title":"Offline Data-Driven Optimization: Benchmarks, Algorithms and Applications","year":2023,"lang":"en","type":"other","venue":"eScholarship (California Digital Library)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Office of Naval Research; Defense Advanced Research Projects Agency; Institute for Catastrophic Loss Reduction; National Science Foundation","keywords":"Benchmark (surveying); Suite; Set (abstract data type); Process (computing); Cover (algebra); Range (aeronautics); Online and offline; Function (biology)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003839039,0.002700015,0.001530813,0.001278237,0.0008775682,0.001993946,0.002673967,0.002052552,0.004725883],"category_scores_gemma":[0.01490089,0.0006138132,0.0009598305,0.002889291,0.001108346,0.00205531,0.001836849,0.002756775,0.001244762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001915389,"about_ca_system_score_gemma":0.002813433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007172038,"about_ca_topic_score_gemma":0.007264449,"domain_scores_codex":[0.9966573,0.001180845,0.0002537119,0.0004674297,0.001137122,0.0003037269],"domain_scores_gemma":[0.9903557,0.006056061,0.0004736501,0.001628565,0.001195588,0.000290432],"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":[0.00030822,0.0005505147,0.001543919,0.0009342085,0.00007604586,0.00006996447,0.00005982809,0.8665238,0.001567376,0.01628681,0.01879393,0.09328546],"study_design_scores_gemma":[0.00009074539,0.0001364362,0.0003205752,0.00005607326,0.00001304242,0.00003431431,0.00004460278,0.9789178,0.002268635,0.01279863,0.005303854,0.00001535427],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1463843,0.01390964,0.7419295,0.003671402,0.000861445,0.0009889958,0.007801929,0.01618238,0.06827049],"genre_scores_gemma":[0.4100051,0.003277451,0.5682533,0.0005435339,0.0001616567,0.001034988,0.00905889,0.002229986,0.005434987],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007172038,"threshold_uncertainty_score":0.02030307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01764491687543296,"score_gpt":0.2496357435103384,"score_spread":0.2319908266349055,"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."}}