{"id":"W4367309807","doi":"10.1016/j.memori.2023.100051","title":"A review on computational storage devices and near memory computing for high performance applications","year":2023,"lang":"en","type":"review","venue":"Memories - Materials Devices Circuits and Systems","topic":"Advanced Data Storage Technologies","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Computer data storage; Bottleneck; Scalability; Computation; Data processing; Distributed computing; Big data; Embedded system; Parallel computing; Computer engineering; Computer hardware; Database; Operating 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003946631,0.0010369,0.0008932452,0.002311097,0.0004295304,0.001177931,0.0009868945,0.001262186,0.008617356],"category_scores_gemma":[0.0009011358,0.0004262219,0.0005464174,0.003636517,0.0004212176,0.002240945,0.0006625831,0.001525464,0.004358581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004871782,"about_ca_system_score_gemma":0.001295418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009138309,"about_ca_topic_score_gemma":0.001409838,"domain_scores_codex":[0.9997512,0.00003583725,0.00002912753,0.00004780025,0.000110481,0.00002570915],"domain_scores_gemma":[0.9994735,0.0002869144,0.00004932129,0.00002101381,0.0001376243,0.00003163017],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005192745,0.00009843072,0.0002471867,0.02841862,0.00007062416,0.0002301292,0.0001188791,0.0008929787,0.003592287,0.01878698,0.105883,0.8416089],"study_design_scores_gemma":[0.000003227558,0.00004299608,0.0002476657,0.002348238,0.00003663672,0.0003749052,0.00002861506,0.0001346172,0.0004375945,0.002456983,0.9938762,0.00001233181],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002055856,0.9924223,0.0007200135,0.000477136,0.0006206159,0.00001363902,0.00005749365,0.00002629531,0.005456982],"genre_scores_gemma":[0.0009842457,0.9955198,0.0007571662,0.0003562486,0.0004879239,0.00001764498,0.00007861858,0.000007357794,0.001790956],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.008617356,"threshold_uncertainty_score":0.02882797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06621883828946713,"score_gpt":0.3217407566733221,"score_spread":0.255521918383855,"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."}}