{"id":"W7140625958","doi":"10.1109/fpl68686.2025.00039","title":"Cocotb-Pynq: Co-Simulating Python+RTL Applications Targeting Pynq Platforms with Cocotb","year":2025,"lang":"","type":"article","venue":"","topic":"Computational Physics and Python Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Process (computing); Troubleshooting; Software; Key (lock); Identification (biology)","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":[0.001773356,0.001305259,0.0004982786,0.0004971407,0.0005165765,0.001006496,0.00313462,0.000913287,0.01030775],"category_scores_gemma":[0.004957305,0.0008180108,0.0009474714,0.0003148729,0.001264305,0.001712012,0.001682551,0.002090588,0.002293609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001467763,"about_ca_system_score_gemma":0.002624279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009163296,"about_ca_topic_score_gemma":0.00879633,"domain_scores_codex":[0.9988258,0.0002492809,0.00005731748,0.0001676262,0.0005069636,0.0001929548],"domain_scores_gemma":[0.9982139,0.0005900488,0.0001487716,0.0004970885,0.0004145372,0.0001356376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001523199,0.0007317004,0.02342673,0.00129481,0.0003504846,0.00111879,0.001119817,0.6672546,0.07449862,0.03701936,0.07425598,0.117406],"study_design_scores_gemma":[0.0001625195,0.0002091693,0.001517789,0.00006825104,0.00004014974,0.0001790381,0.00005477184,0.925108,0.03782702,0.004082304,0.03068515,0.00006587066],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.1299046,0.0003568378,0.6574107,0.0005415012,0.0004858306,0.000554233,0.002111836,0.1830604,0.02557402],"genre_scores_gemma":[0.6623738,0.0003076567,0.2858734,0.0007596821,0.00004866324,0.001106508,0.004531777,0.03396577,0.01103258],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.01030775,"threshold_uncertainty_score":0.0344829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01248702051617864,"score_gpt":0.2911359060017432,"score_spread":0.2786488854855646,"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."}}