{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000081169,0.0001294616,0.000116862,0.0001263891,0.0002601486,0.0001485526,0.0003177154,0.00007529713,0.00004450095],"category_scores_gemma":[0.00003227973,0.0001261483,0.00004976612,0.0004648303,0.00002822383,0.0001564163,0.00002316566,0.0001809048,0.00000482135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001493063,"about_ca_system_score_gemma":0.00005135158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002443741,"about_ca_topic_score_gemma":0.000009067341,"domain_scores_codex":[0.9990879,0.0000814177,0.0001560216,0.0003665215,0.0001521987,0.0001559443],"domain_scores_gemma":[0.9991154,0.00008982729,0.00004318016,0.0005758298,0.0001020297,0.00007371297],"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":[0.000004753746,0.00004463143,0.000005854144,0.000005155178,0.00001142142,0.000005460234,0.0002357403,0.868294,0.00004743058,0.001127117,0.00006457984,0.1301538],"study_design_scores_gemma":[0.00039918,0.0001042465,0.00006322662,0.00003726719,0.00001610391,0.000131136,0.00001858722,0.9779966,0.008175994,0.009076154,0.003694098,0.0002873904],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001667001,0.0001203613,0.9935804,0.004188937,0.0001087982,0.00008118249,0.000005367772,0.0004527182,0.001295527],"genre_scores_gemma":[0.09175546,0.000300136,0.9062434,0.001115777,0.00002040871,0.00001472175,0.00001148838,0.00001197424,0.0005266332],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1298664,"threshold_uncertainty_score":0.5144177,"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."}}