{"id":"W3035487791","doi":"10.1109/fccm48280.2020.00043","title":"SHIP: Storage for Hybrid Interconnected Processors","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced Data Storage Technologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Field-programmable gate array; Storage management; Protocol (science); Operating system; Computer data storage; Embedded system; Database","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":[0.0004309735,0.0006452685,0.0004253093,0.0008297552,0.0006641533,0.002075157,0.002294872,0.0005292671,0.03772284],"category_scores_gemma":[0.0008918836,0.0003958207,0.0002584875,0.001316899,0.0006078256,0.003453957,0.002877268,0.0008751429,0.01051408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007654571,"about_ca_system_score_gemma":0.0007295267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006730888,"about_ca_topic_score_gemma":0.0009728456,"domain_scores_codex":[0.9995734,0.00003868002,0.00002993385,0.0000740175,0.0002152805,0.00006860819],"domain_scores_gemma":[0.9994184,0.00006698785,0.00004029497,0.0002392964,0.0001849814,0.00005006781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001975171,0.0002116845,0.004422685,0.001509456,0.0002032259,0.001210456,0.00075641,0.02064873,0.06528613,0.1290053,0.3894031,0.3853677],"study_design_scores_gemma":[0.000405376,0.0007968709,0.002574831,0.0002771562,0.000182315,0.001605497,0.0004972761,0.1606823,0.09929907,0.05525756,0.6782802,0.0001417349],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1397789,0.005619156,0.5572258,0.002276168,0.001985315,0.0007675391,0.006913945,0.1187776,0.1666557],"genre_scores_gemma":[0.6587862,0.002949766,0.1972028,0.001113571,0.0005542228,0.0007165087,0.01182927,0.004192053,0.1226555],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03772284,"threshold_uncertainty_score":0.1261955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03414571864543435,"score_gpt":0.2624470583410133,"score_spread":0.228301339695579,"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."}}