{"id":"W2901123440","doi":"10.1109/mm.2018.2877290","title":"Galapagos: A Full Stack Approach to FPGA Integration in the Cloud","year":2018,"lang":"en","type":"article","venue":"IEEE Micro","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Field-programmable gate array; Computer science; Cloud computing; Stack (abstract data type); Flexibility (engineering); Embedded system; Interface (matter); Abstraction layer; Abstraction; Acceleration; Computer architecture; Operating system; Software","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":[],"consensus_categories":[],"category_scores_codex":[0.0004269833,0.0001148116,0.0001083094,0.00007539545,0.00008669671,0.0001923424,0.0009253792,0.00005811054,0.000005626547],"category_scores_gemma":[0.00002672003,0.00007749723,0.00003963938,0.0006420034,0.00004185286,0.0001475425,0.00007537,0.0001467999,0.000222512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003421629,"about_ca_system_score_gemma":0.00002917568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006161955,"about_ca_topic_score_gemma":0.00008862779,"domain_scores_codex":[0.9989963,0.00008703986,0.0001692451,0.0003175019,0.0001605524,0.0002693883],"domain_scores_gemma":[0.9992232,0.00007821654,0.00003901915,0.0005525419,0.00006152167,0.00004550529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001109135,0.0006722672,0.0009334806,0.00002502022,0.00002601139,0.00002035872,0.04705284,0.0005456404,0.03537428,0.01843849,0.6628314,0.2339693],"study_design_scores_gemma":[0.004342244,0.003424031,0.02291947,0.0005294367,0.00005239514,0.0004854809,0.002816931,0.1561084,0.1419184,0.02578535,0.6383976,0.00322023],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1607495,0.00008966551,0.8330015,0.0009911896,0.0009847573,0.0002756613,0.000001992709,0.00009837096,0.003807376],"genre_scores_gemma":[0.9526206,0.000005984934,0.04310729,0.003232804,0.0007924354,0.00003886815,0.000002757176,0.000009986087,0.0001892265],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7918711,"threshold_uncertainty_score":0.3160245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02588735028602548,"score_gpt":0.2502263090397469,"score_spread":0.2243389587537214,"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."}}