{"id":"W4254054765","doi":"10.32920/ryerson.14656695","title":"The methodology of synthesis of dynamically reconfigurable computing systems with temporal partitioning of homogeneous resources","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Centres of Excellence; CMC Microsystems","keywords":"Computer science; Field-programmable gate array; Embedded system; Design space exploration; High-level synthesis; Reconfigurability; Distributed computing; Computer architecture","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003935157,0.0004422484,0.0002730185,0.0004262318,0.0002838514,0.000623824,0.0005391437,0.0002788276,0.002221274],"category_scores_gemma":[0.0005415737,0.0002530261,0.0006991755,0.0002970233,0.000465629,0.0003474916,0.000342462,0.0004927358,0.0005427687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004554169,"about_ca_system_score_gemma":0.0008914699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007049312,"about_ca_topic_score_gemma":0.0007432721,"domain_scores_codex":[0.9996341,0.00007351337,0.0000271918,0.00007691082,0.0001525059,0.00003570326],"domain_scores_gemma":[0.9997805,0.00006806098,0.00003268375,0.00006146875,0.00004971211,0.000007676932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001103351,0.00007352799,0.0006465957,0.001085232,0.0001050617,0.0003482193,0.0002877972,0.2361217,0.3058353,0.2008123,0.002396947,0.252177],"study_design_scores_gemma":[0.00008864227,0.0007121082,0.0008939592,0.0001903723,0.0001154472,0.000839988,0.00009448032,0.6318308,0.2066206,0.05725392,0.101303,0.0000566263],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005404066,0.0002228728,0.9893233,0.00003968844,0.00003603559,0.00009412391,0.00004980059,0.0003998018,0.004430339],"genre_scores_gemma":[0.1779796,0.000512728,0.8173475,0.0000720329,0.0000366701,0.0004440121,0.0002064926,0.0001523278,0.003248614],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002221274,"threshold_uncertainty_score":0.007430971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02074078050866621,"score_gpt":0.2244662420289525,"score_spread":0.2037254615202863,"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."}}