{"id":"W4411415376","doi":"10.3390/electronics14122476","title":"A Systematic Review and Classification of HPC-Related Emerging Computing Technologies","year":2025,"lang":"en","type":"review","venue":"Electronics","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"Iran Telecommunication Research Center","keywords":"Computer science; Scalability; Data science; Cloud computing; Scope (computer science); Supercomputer; Context (archaeology); Emerging technologies; Big data; End-user computing; Domain (mathematical analysis); Utility computing; Artificial intelligence; Database; Parallel computing; Cloud computing security; Data mining","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":[0.0002669656,0.0002881431,0.001891538,0.0001667868,0.0000551331,0.000009175763,0.0002301637,0.0001871657,8.226392e-7],"category_scores_gemma":[0.000255042,0.0002483415,0.0001593368,0.0006505022,0.00002449185,0.00004143237,0.00007384822,0.0005829312,0.000002803677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001132521,"about_ca_system_score_gemma":0.00004615429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":2.914154e-8,"about_ca_topic_score_gemma":2.453976e-7,"domain_scores_codex":[0.9984883,0.00007192483,0.00088738,0.0002195752,0.00007744697,0.0002553919],"domain_scores_gemma":[0.9989896,0.0002960697,0.0003457587,0.0003233992,0.00003085934,0.00001424459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[5.752907e-8,0.000001799284,1.644801e-8,0.7719925,0.00009699623,5.657249e-7,0.000006304193,0.00003691469,0.00000699707,0.0004798908,0.00001219938,0.2273658],"study_design_scores_gemma":[0.00004320441,0.0000202823,4.104274e-8,0.9674364,0.002723511,0.00004670336,0.00001719139,0.001853531,0.00003603734,0.0001158299,0.02739345,0.0003137655],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000002712862,0.9968055,0.001301513,0.000008004775,0.00006762421,0.001052076,0.000002355591,0.0005852774,0.0001748693],"genre_scores_gemma":[0.00008026192,0.9996523,0.0001353388,0.00000446856,0.000005284328,0.00003258288,0.00001547952,0.0000301615,0.00004410872],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.227052,"threshold_uncertainty_score":0.9999969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01640834153326384,"score_gpt":0.2930471395821251,"score_spread":0.2766387980488613,"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."}}