{"id":"W3115467804","doi":"10.1137/20m1386542","title":"A Local Search Framework for Experimental Design","year":2022,"lang":"en","type":"article","venue":"SIAM Journal on Computing","topic":"Distributed Sensor Networks and Detection Algorithms","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Knapsack problem; Mathematical optimization; Local search (optimization); Regret; Randomized rounding; Rounding; Combinatorial search; Combinatorial optimization; Computer science; Mathematics; Beam stack search; Algorithm; Search algorithm; Approximation algorithm; Best-first search; Beam search; Machine learning","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":[0.02254958,0.002465859,0.002133354,0.002283611,0.000898547,0.002639905,0.004230788,0.002222145,0.009631278],"category_scores_gemma":[0.04098099,0.001568296,0.002092044,0.002170081,0.003927259,0.003165514,0.003610096,0.004870099,0.001630865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003069919,"about_ca_system_score_gemma":0.003548749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001058342,"about_ca_topic_score_gemma":0.00105722,"domain_scores_codex":[0.9835083,0.01225367,0.0005446033,0.001622556,0.001657595,0.0004133044],"domain_scores_gemma":[0.9670959,0.02558031,0.002058833,0.003402702,0.001359053,0.0005032789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001626974,0.0001425607,0.0003276312,0.000280567,0.0001257964,0.0000835637,0.0001085213,0.3567905,0.002276733,0.5876908,0.001488018,0.05052262],"study_design_scores_gemma":[0.0001731478,0.0002947316,0.0001025208,0.00007038204,0.00005010487,0.00005686447,0.00002897711,0.6208755,0.001485295,0.3691227,0.007707526,0.00003224126],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0002715962,0.00005127264,0.9986456,0.00005749074,0.00001110939,0.00006842212,0.00001761188,0.0000715316,0.0008054189],"genre_scores_gemma":[0.04623117,0.0002213871,0.9495111,0.0002602398,0.00006248061,0.001870199,0.00008850549,0.0001186019,0.001636362],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02254958,"threshold_uncertainty_score":0.1192549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04420174424423241,"score_gpt":0.3073670412413076,"score_spread":0.2631652969970752,"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."}}