{"id":"W2767106296","doi":"10.1145/3232521","title":"CODA","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on Architecture and Code Optimization","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"Advanced Micro Devices; National Science Foundation","keywords":"Thread (computing); Scalability; Exploit; Multithreading; Scheduling (production processes); Data structure; CAS latency; Distributed memory; Shared memory","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":[0.001335892,0.001325896,0.0009149933,0.001985123,0.00175103,0.005771928,0.002996136,0.002199747,0.4008659],"category_scores_gemma":[0.004355321,0.0007716552,0.001029453,0.001724183,0.0008076106,0.003968636,0.005112082,0.002248346,0.3310575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001751057,"about_ca_system_score_gemma":0.002850948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005334558,"about_ca_topic_score_gemma":0.006497888,"domain_scores_codex":[0.9983152,0.0001778627,0.0001127469,0.0004416929,0.0007046251,0.000247879],"domain_scores_gemma":[0.9972394,0.0002861718,0.0001305741,0.0009918845,0.0009139839,0.0004381315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004307936,0.0001418369,0.001354011,0.0006243995,0.00004561572,0.0003962654,0.0002021748,0.0009314383,0.00724568,0.03891506,0.6823449,0.2673678],"study_design_scores_gemma":[0.00004392859,0.00002661651,0.0004248898,0.00008626695,0.000009999188,0.0002222804,0.00004424865,0.001456672,0.001660214,0.003953667,0.992054,0.00001730919],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003877411,0.002377684,0.05494247,0.004910037,0.004284003,0.0005339613,0.01181507,0.04375712,0.8735023],"genre_scores_gemma":[0.04018182,0.00288556,0.04930254,0.004024705,0.0009173912,0.0007479803,0.03295653,0.01235021,0.8566332],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4008659,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01265179786061752,"score_gpt":0.2498807854999817,"score_spread":0.2372289876393642,"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."}}