{"id":"W4225291709","doi":"10.1145/3529538.3529992","title":"SYCLops: A SYCL Specific LLVM to MLIR Converter","year":2022,"lang":"en","type":"article","venue":"International Workshop on OpenCL","topic":"Advanced Data Storage Technologies","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Exploit; Computer science; Computer security","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002320317,0.0001761247,0.0001526718,0.0003395493,0.0002310051,0.0002329866,0.004559912,0.00004091781,0.001239481],"category_scores_gemma":[0.0001320455,0.0001804428,0.00006242917,0.0006262277,0.00004486781,0.0005838214,0.003318797,0.0004158811,0.001075192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004150662,"about_ca_system_score_gemma":0.00003721346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008072661,"about_ca_topic_score_gemma":0.000003933128,"domain_scores_codex":[0.9979703,0.00004590236,0.0002637719,0.0006655559,0.000768024,0.000286488],"domain_scores_gemma":[0.9985827,0.0001769273,0.00009316807,0.0009852391,0.00008040941,0.00008155593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000867028,0.0002312874,0.0001235774,0.000001929872,0.00004909011,0.0003101009,0.0006953892,0.004712046,0.0008975031,0.5048847,0.2276581,0.2603497],"study_design_scores_gemma":[0.0003256781,0.0001066068,0.0005329105,0.00002779631,0.000001192104,0.0000583873,0.0003121298,0.008003465,0.0005125393,0.008670332,0.981137,0.0003119038],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003705262,0.0001089773,0.9266546,0.03490117,0.004507104,0.0004702254,0.0000910048,0.0007441057,0.02881758],"genre_scores_gemma":[0.8823634,0.00004509804,0.09645186,0.01105502,0.0001819604,0.0004371525,0.00005642429,0.00003498361,0.009374105],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8786581,"threshold_uncertainty_score":0.9997026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02926183344336735,"score_gpt":0.2936517919966401,"score_spread":0.2643899585532727,"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."}}