{"id":"W6930651493","doi":"10.5281/zenodo.14090974","title":"Artifact of \"Scalar Interpolation: A Better Balance Between Vector and Scalar Execution for SuperScalar Architectures\"","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada); University of Alberta","funders":"","keywords":"Artifact (error); Scalar (mathematics); Image (mathematics); Scripting language; Image processing","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":[0.004556209,0.001605898,0.001242653,0.001030206,0.001361977,0.003942962,0.003140252,0.001776108,0.1207331],"category_scores_gemma":[0.01966854,0.001150851,0.001682132,0.002336349,0.001357275,0.003829032,0.003125248,0.005763448,0.07493848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002029646,"about_ca_system_score_gemma":0.002926602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00406865,"about_ca_topic_score_gemma":0.003182281,"domain_scores_codex":[0.9934197,0.001009676,0.000427964,0.000821047,0.003894632,0.0004269551],"domain_scores_gemma":[0.9800811,0.003852522,0.0006450537,0.008911119,0.005891097,0.0006191815],"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":[0.0008074352,0.0001270393,0.0005925165,0.0004882195,0.00007382494,0.0001413739,0.00009205836,0.002773592,0.01124791,0.01280655,0.9185527,0.05229677],"study_design_scores_gemma":[0.0003588602,0.0002083069,0.00155273,0.0002069406,0.00008893916,0.0004322229,0.0000611607,0.0126747,0.0832278,0.0123602,0.8887101,0.0001181722],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"empirical","genre_scores_codex":[0.0163534,0.00201417,0.320358,0.01963575,0.05091737,0.0006037016,0.07388397,0.3811316,0.1351021],"genre_scores_gemma":[0.1222241,0.001881941,0.2054497,0.02115504,0.004852343,0.001041146,0.1414907,0.2277596,0.2741454],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1207331,"threshold_uncertainty_score":0.4038925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02342235104968649,"score_gpt":0.2526004183300639,"score_spread":0.2291780672803774,"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."}}