{"id":"W4245984267","doi":"10.1145/2714064.2660204","title":"Cybertron","year":2014,"lang":"en","type":"article","venue":"ACM SIGPLAN Notices","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Ministry of Science and Technology of the People's Republic of China; National Natural Science Foundation of China","keywords":"Computer science; Granularity; Reduction (mathematics); Encoding (memory); Computation; Parallel computing; Focus (optics); Big data; State (computer science); Algorithm; Programming language; Operating system","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":[0.0002459508,0.00008538354,0.00009632584,0.00006328962,0.00009601322,0.0001379379,0.00129521,0.00004056477,0.000009879074],"category_scores_gemma":[0.0002401447,0.00007517447,0.00002752155,0.0001480164,0.00001894719,0.0002393855,0.000273986,0.00007009981,0.0001206441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008276915,"about_ca_system_score_gemma":0.000011711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002515826,"about_ca_topic_score_gemma":0.000004333845,"domain_scores_codex":[0.9992682,0.00006461727,0.0001213792,0.0002295956,0.0001409686,0.0001752752],"domain_scores_gemma":[0.9988794,0.0002523598,0.00006876973,0.0007081225,0.00003621809,0.00005509534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001584077,0.0002046828,0.01115827,0.0000607137,0.00005200414,0.00001642911,0.002153775,0.02931477,0.001037687,0.502952,0.07320924,0.3798245],"study_design_scores_gemma":[0.0003871935,0.0002419004,0.007550907,0.00004148775,0.000009150876,0.00001137236,0.000009692021,0.8476736,0.006696423,0.02585876,0.110996,0.0005235194],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008429764,0.00004848913,0.965829,0.001339396,0.0002108757,0.00005157135,3.331446e-7,0.0008524427,0.02323811],"genre_scores_gemma":[0.6915543,0.000003764377,0.307521,0.0005798974,0.00007102836,0.000002604521,0.000002055957,0.000004339997,0.0002610306],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8183588,"threshold_uncertainty_score":0.3065526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01504517817134766,"score_gpt":0.2507045183097674,"score_spread":0.2356593401384197,"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."}}