{"id":"W2549866851","doi":"10.1007/s11265-017-1225-y","title":"Using OpenCL to Increase SCA Application Portability","year":2017,"lang":"en","type":"article","venue":"Journal of Signal Processing Systems","topic":"Model-Driven Software Engineering Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Nordion (Canada)","funders":"","keywords":"Software portability; Computer science; Software; Software-defined radio; Embedded system; Component (thermodynamics); Operating system; Computer architecture; Telecommunications","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":[0.001798828,0.001074051,0.0004909828,0.001601024,0.000679161,0.002089899,0.002394924,0.001022055,0.009854978],"category_scores_gemma":[0.01624353,0.0007001591,0.0006758493,0.0006763064,0.0006907267,0.004562777,0.00292621,0.002155142,0.001408309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006565637,"about_ca_system_score_gemma":0.000824923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001803559,"about_ca_topic_score_gemma":0.003192095,"domain_scores_codex":[0.9980234,0.0004896054,0.0001904491,0.000381506,0.0006529078,0.0002621408],"domain_scores_gemma":[0.9843061,0.004672763,0.0007412679,0.007276755,0.002601711,0.0004013955],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001953192,0.001489974,0.0155525,0.0004558362,0.0002184889,0.001033808,0.0009025535,0.1558128,0.1792477,0.02335515,0.01186917,0.6081087],"study_design_scores_gemma":[0.000220211,0.0003800351,0.001678761,0.00006062687,0.0001275442,0.0002921298,0.00007550274,0.8694078,0.09845328,0.01932623,0.009915656,0.00006230167],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1979155,0.0002268916,0.7260334,0.0004881496,0.0002517338,0.000147964,0.000131384,0.06019688,0.01460812],"genre_scores_gemma":[0.8906813,0.0000568351,0.09873686,0.0002254288,0.0000589438,0.00007623247,0.0002311957,0.003912723,0.006020469],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009854978,"threshold_uncertainty_score":0.03296816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04308871623232419,"score_gpt":0.3210319964322574,"score_spread":0.2779432801999332,"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."}}