{"id":"W4408447369","doi":"10.1103/physrevapplied.23.034031","title":"Parallel tempering–inspired distributed binary optimization with in-memory computing","year":2025,"lang":"en","type":"article","venue":"Physical Review Applied","topic":"Graph Theory and Algorithms","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saskatchewan Health Quality Council","funders":"Defense Advanced Research Projects Agency","keywords":"Computer science; Parallel computing; Binary number; Distributed computing; Mathematics; Arithmetic","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":[0.0004159459,0.0004531704,0.0007398144,0.0002525691,0.0004463075,0.0006758367,0.0009644447,0.0006618664,0.002203592],"category_scores_gemma":[0.001230656,0.00024837,0.0005315613,0.0003605823,0.0007657377,0.000926372,0.0009666677,0.0008794587,0.0002855078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005026615,"about_ca_system_score_gemma":0.0004250495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009532061,"about_ca_topic_score_gemma":0.001060794,"domain_scores_codex":[0.9998361,0.00005799401,0.000006926859,0.00003181257,0.00004651283,0.00002069071],"domain_scores_gemma":[0.9996972,0.0001486696,0.00002828016,0.00006256362,0.00003498607,0.00002830633],"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":[0.0001257917,0.00009598765,0.000600235,0.00009505102,0.00006676115,0.00008281544,0.00006681013,0.8707563,0.01071529,0.08471038,0.001577733,0.03110688],"study_design_scores_gemma":[0.000009870862,0.00001328667,0.00002784596,0.000001805068,0.000003895672,0.00000901286,0.000002304759,0.9887083,0.000708703,0.01011719,0.0003953554,0.000002479094],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06061535,0.0004397927,0.9262522,0.0002864333,0.0001401043,0.00004801915,0.00003295461,0.0004445204,0.01174064],"genre_scores_gemma":[0.7257719,0.0002903524,0.2684478,0.000192653,0.00008944052,0.0001383679,0.00006930556,0.0001935306,0.004806673],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002203592,"threshold_uncertainty_score":0.007371724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008125922655047454,"score_gpt":0.25451711806725,"score_spread":0.2463911954122026,"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."}}