{"id":"W2151196473","doi":"10.1109/ccece.2007.240","title":"Introducing OperaNP: A Reconfigurable NoC-Based Platform","year":2007,"lang":"en","type":"article","venue":"","topic":"Interconnection Networks and Systems","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Routing (electronic design automation); Computer science; Field-programmable gate array; Computer architecture; Embedded system; Network on a chip; System on a chip; Architecture; Programmable logic device; Network topology; Computer network","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":[0.001165011,0.00009437316,0.0001258311,0.000108558,0.0001336339,0.0001875244,0.0004103971,0.00005708411,0.0002539355],"category_scores_gemma":[0.00002502514,0.0000750042,0.00005801899,0.0002849786,0.0000107957,0.0003697894,0.00002469682,0.0001110911,0.0002043256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005697262,"about_ca_system_score_gemma":0.00003892738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002116599,"about_ca_topic_score_gemma":0.0002244469,"domain_scores_codex":[0.9989421,0.00001450497,0.0002752782,0.0002970807,0.0001510444,0.0003199739],"domain_scores_gemma":[0.9992453,0.0001069291,0.00004806218,0.0004231353,0.00009164604,0.00008494274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007000225,0.0001645301,0.0008960091,0.00005100787,0.00006178414,0.00008459992,0.002045766,0.01940667,0.009228908,0.6003563,0.06901568,0.2986187],"study_design_scores_gemma":[0.0007717155,0.0001837102,0.0003018598,0.00006201393,0.0000026362,0.00007725824,0.0002092193,0.8335621,0.04057779,0.0007986306,0.1230627,0.0003903995],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007011933,0.0000238243,0.8458717,0.0005175057,0.001375649,0.00009403961,1.42192e-7,0.0001919511,0.1449132],"genre_scores_gemma":[0.9726775,7.935997e-7,0.02137645,0.001347442,0.0003294629,0.000004519838,8.569972e-7,0.000006420707,0.0042566],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9656655,"threshold_uncertainty_score":0.3058583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01804424464428502,"score_gpt":0.240570498112564,"score_spread":0.222526253468279,"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."}}