{"id":"W4381085527","doi":"10.1145/3605153","title":"Offloading Machine Learning to Programmable Data Planes: A Systematic Survey","year":2023,"lang":"en","type":"review","venue":"ACM Computing Surveys","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Computer science; Machine learning; Artificial intelligence; Deep learning; Computer architecture; Embedded system","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.01211887,0.0009671295,0.003442429,0.0004666907,0.0003852797,0.0002795017,0.003239195,0.0002929444,0.000005567726],"category_scores_gemma":[0.007237146,0.0008884622,0.0002326141,0.002038967,0.00002460437,0.0001730979,0.0026906,0.001455217,0.0007665266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001705053,"about_ca_system_score_gemma":0.00007583422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000108027,"about_ca_topic_score_gemma":0.0002106079,"domain_scores_codex":[0.9920464,0.003586744,0.001663667,0.001144454,0.0004382071,0.001120506],"domain_scores_gemma":[0.9879203,0.00877439,0.0004294221,0.002521692,0.00008205051,0.0002721747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.000001848653,0.00001697027,0.0001075523,0.4491592,0.0005533244,0.000162958,0.0001443024,0.04576442,0.000001059385,0.000003013401,0.0002865808,0.5037987],"study_design_scores_gemma":[0.0004884955,0.0001941964,0.0001201382,0.5431491,0.001231323,0.0005539312,0.00007828439,0.2626375,0.00000496578,0.00002899975,0.1868009,0.004712217],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002250181,0.9765416,0.01538122,0.00000197649,0.001656325,0.002182712,0.0002663217,0.003700204,0.00004459464],"genre_scores_gemma":[0.001228892,0.9873799,0.003156124,0.00001483768,0.0006755675,0.00006970557,0.006205271,0.0007979713,0.0004716998],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.4990865,"threshold_uncertainty_score":0.9993566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2549585767359075,"score_gpt":0.3810642036258785,"score_spread":0.126105626889971,"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."}}