{"id":"W3126960560","doi":"10.1145/3439803","title":"Gretch","year":2021,"lang":"en","type":"article","venue":"ACM Transactions on Architecture and Code Optimization","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Waterloo","funders":"","keywords":"Computer science; Scheduling (production processes); Speedup; Cache; Embedded system; Computer architecture; Parallel computing","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":[0.0004265497,0.001214446,0.000479731,0.001041687,0.0005594936,0.001037312,0.002345,0.0007818167,0.0215981],"category_scores_gemma":[0.002660061,0.0005387967,0.0006206346,0.0009644149,0.0005082403,0.001768222,0.001368857,0.00109411,0.009393233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008214133,"about_ca_system_score_gemma":0.00153828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004725823,"about_ca_topic_score_gemma":0.008908382,"domain_scores_codex":[0.9990822,0.00007416606,0.00005664102,0.0002630148,0.000355322,0.0001685974],"domain_scores_gemma":[0.9978215,0.0003634474,0.0001649984,0.001032374,0.000523965,0.00009372993],"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":[0.002112508,0.0004253821,0.008986971,0.0009068156,0.0001888078,0.0004595308,0.0003342993,0.01774821,0.06550852,0.01759443,0.223682,0.6620526],"study_design_scores_gemma":[0.0006195152,0.001504079,0.008796156,0.0001501977,0.0001694619,0.001225369,0.0003198216,0.3756302,0.2458375,0.02783696,0.3376273,0.000283558],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"methods","genre_scores_codex":[0.1438394,0.002610261,0.3668365,0.001345582,0.001559111,0.001024003,0.008412481,0.4092997,0.06507295],"genre_scores_gemma":[0.5638598,0.0008409128,0.3334341,0.002185803,0.0002702941,0.0006785588,0.01707629,0.01373885,0.06791541],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0215981,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0125282264482846,"score_gpt":0.2426910480325142,"score_spread":0.2301628215842296,"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."}}