{"id":"W4319870556","doi":"10.1145/3543622.3579026","title":"Open-source and FPGAs","year":2023,"lang":"en","type":"article","venue":"","topic":"Embedded Systems Design Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Open source; Open source software; Computer science; Public domain software; Operating system; The Internet; Software; Open source hardware; Field-programmable gate array; Open platform; Reduced instruction set computing; Field (mathematics); World Wide Web; Software engineering; Embedded system; Instruction set; Computer hardware","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":[0.0004601411,0.00005542011,0.00008191319,0.00007610878,0.00005619899,0.0003554468,0.001120034,0.00002964837,0.000009941135],"category_scores_gemma":[0.00002014951,0.00004601007,0.00001061608,0.0003907194,0.00001507635,0.0004195251,0.001315125,0.00003956682,0.0002574507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008161949,"about_ca_system_score_gemma":0.00001485129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009243513,"about_ca_topic_score_gemma":0.000007202228,"domain_scores_codex":[0.9993833,0.00004342146,0.00009610889,0.0002324909,0.0001051422,0.0001395563],"domain_scores_gemma":[0.9994296,0.00006551079,0.00002209011,0.0004119412,0.00001957139,0.0000512601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001103461,0.00001371958,0.0006779488,0.00001846611,0.000009310285,0.00003494299,0.001079187,0.000007285367,0.005144622,0.6074014,0.2886969,0.0969151],"study_design_scores_gemma":[0.0007346297,0.0003402176,0.004690244,0.0001088471,0.000004742376,0.0002115059,0.0002863985,0.2284382,0.07685383,0.1407912,0.5466101,0.0009301162],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004128489,0.00002817385,0.9053761,0.001319209,0.0000799989,0.0002407847,1.88605e-7,0.002432068,0.08639497],"genre_scores_gemma":[0.7954085,0.00002250882,0.1531062,0.0009309663,0.00004094584,0.00006116697,7.036501e-7,0.00001627611,0.05041278],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.79128,"threshold_uncertainty_score":0.3427581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03954429350027732,"score_gpt":0.2995097671564205,"score_spread":0.2599654736561431,"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."}}