{"id":"W4410211360","doi":"10.1145/3730584","title":"GOLDYLOC: Global Optimizations &amp; Lightweight Dynamic Logic for Concurrency","year":2025,"lang":"en","type":"article","venue":"ACM Transactions on Architecture and Code Optimization","topic":"Formal Methods in Verification","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Computer science; Concurrency; Parallel computing; Distributed computing; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001809192,0.0002192871,0.000189817,0.0002335156,0.0004872116,0.0001606575,0.0006431594,0.0001483956,0.00002438005],"category_scores_gemma":[0.0001246998,0.0002070554,0.00009121712,0.0009332152,0.00008208479,0.0002932622,0.00002471255,0.0001733215,0.000004581741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000948708,"about_ca_system_score_gemma":0.00009451305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003421895,"about_ca_topic_score_gemma":0.00005023041,"domain_scores_codex":[0.9986585,0.0001063722,0.0003159392,0.0005201464,0.0001486214,0.0002504158],"domain_scores_gemma":[0.9987369,0.0001464497,0.00009898983,0.0007822184,0.0001593977,0.00007604101],"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":[0.00003411265,0.00009256959,0.000006048,0.00003412387,0.00002739156,1.860258e-7,0.0001569922,0.7646043,0.0000391057,0.05537548,0.000091084,0.1795386],"study_design_scores_gemma":[0.0006466569,0.0001174962,0.00008226223,0.00004917709,0.00006176093,0.00001276365,0.00001623986,0.9518691,0.0002691439,0.04129398,0.005328641,0.0002527346],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00004330049,0.0002016523,0.9925076,0.004072844,0.0005431419,0.0006284145,0.0001103458,0.0002774149,0.001615239],"genre_scores_gemma":[0.01793782,0.0002368935,0.9802981,0.000664714,0.00001391449,0.0001994612,0.00006493597,0.00001094766,0.0005732006],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1872648,"threshold_uncertainty_score":0.8443475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01809208941449907,"score_gpt":0.3136580702252943,"score_spread":0.2955659808107953,"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."}}