{"id":"W4315471891","doi":"10.1109/cdc51059.2022.9992771","title":"A Programming Approach for Worst-case Studies in Distributed Submodular Maximization","year":2022,"lang":"en","type":"article","venue":"2022 IEEE 61st Conference on Decision and Control (CDC)","topic":"Complexity and Algorithms in Graphs","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Submodular set function; Computer science; Maximization; Mathematical optimization; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01153338,0.003941745,0.002004607,0.002456892,0.001157112,0.003566653,0.004069284,0.002386114,0.007432333],"category_scores_gemma":[0.02939909,0.001610998,0.003217642,0.003540651,0.003387077,0.005542469,0.003183812,0.007880061,0.001084415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00309435,"about_ca_system_score_gemma":0.002705377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002398693,"about_ca_topic_score_gemma":0.002261462,"domain_scores_codex":[0.9927428,0.004360355,0.0002604941,0.0007802112,0.001395324,0.00046091],"domain_scores_gemma":[0.9833024,0.01333048,0.0008880934,0.0009575749,0.001178932,0.0003425074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007059248,0.0002091468,0.000378852,0.0002858979,0.0001221811,0.0001588393,0.0002359069,0.5442489,0.001707756,0.4146465,0.005121097,0.03281438],"study_design_scores_gemma":[0.00001846728,0.00007084906,0.00005847839,0.0000551214,0.00002637017,0.00005734124,0.00004597622,0.8135408,0.0006847857,0.1820102,0.003411055,0.000020509],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0004005667,0.00006517326,0.9974654,0.0001505797,0.00001886933,0.00003963754,0.00002182793,0.00003343614,0.00180449],"genre_scores_gemma":[0.08793234,0.0006958204,0.9040404,0.0005503493,0.0003488856,0.00126236,0.0001821699,0.0003563777,0.004631308],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01153338,"threshold_uncertainty_score":0.06099504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08175591008355151,"score_gpt":0.31350981465584,"score_spread":0.2317539045722885,"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."}}