{"id":"W2612242064","doi":"10.1145/3019611","title":"PMC","year":2017,"lang":"en","type":"article","venue":"ACM Transactions on Embedded Computing Systems","topic":"Real-Time Systems Scheduling","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Locality; Schedule; Memory controller; Task (project management); Memory management; Embedded system; Distributed computing; Computer architecture; Overlay; Computer hardware; Operating system; Semiconductor 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001035673,0.0003445036,0.0004714865,0.0002303504,0.002029428,0.00230463,0.004789111,0.0001773833,0.000007573336],"category_scores_gemma":[0.0001432284,0.000335513,0.0002191713,0.000220563,0.00008172902,0.00103157,0.0000915697,0.000428291,0.0005457189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001418373,"about_ca_system_score_gemma":0.0001044924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000373277,"about_ca_topic_score_gemma":0.00000531449,"domain_scores_codex":[0.9969843,0.0002347011,0.0006595725,0.0008678479,0.0006332394,0.0006203517],"domain_scores_gemma":[0.9933352,0.0003559594,0.0005480301,0.005354867,0.0001825327,0.0002234347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000732738,0.001011112,0.002535429,0.0008177641,0.001101389,0.0004353113,0.01640282,0.4052177,0.010228,0.04881772,0.001513841,0.5118456],"study_design_scores_gemma":[0.002318067,0.0003609479,0.003750931,0.001563505,0.00006102454,0.0007144633,0.001201069,0.977301,0.007285942,0.001368209,0.002504451,0.001570365],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.026543,0.0001035955,0.960505,0.0005658652,0.005208608,0.0004504065,0.00000280256,0.0007922148,0.005828526],"genre_scores_gemma":[0.9431483,0.000005846224,0.05563855,0.00004598368,0.0003082129,0.00002656088,7.003388e-7,0.00003627881,0.0007895489],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9166053,"threshold_uncertainty_score":0.9999097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03294344845944493,"score_gpt":0.2937799310877797,"score_spread":0.2608364826283348,"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."}}