{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0007027487,0.0007174146,0.0006592817,0.0003995426,0.002022097,0.001178442,0.001834365,0.0002242632,0.0001905098],"category_scores_gemma":[0.00004224142,0.0006475002,0.0002618274,0.003686231,0.0003565304,0.0008843703,0.0007397066,0.0006960481,0.0004997332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002250127,"about_ca_system_score_gemma":0.001083181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001328061,"about_ca_topic_score_gemma":0.0000324811,"domain_scores_codex":[0.9950756,0.00006420528,0.001302299,0.00167497,0.0009121802,0.0009707419],"domain_scores_gemma":[0.9952213,0.001225243,0.0006380302,0.001579771,0.0009584027,0.0003773014],"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":[0.00002654785,0.0005498091,0.001363228,0.0001028296,0.0001781608,0.000003115833,0.0005907834,0.03583366,0.0005444512,0.8304088,0.004825294,0.1255733],"study_design_scores_gemma":[0.001567415,0.0001301238,0.002387301,0.0002218431,0.00008908944,0.000008805643,0.0003392421,0.8153721,0.001361904,0.07610886,0.1013875,0.001025781],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004926569,0.0003848888,0.9191505,0.002582663,0.0002283196,0.002509663,0.00006031403,0.0004954251,0.06966162],"genre_scores_gemma":[0.8920062,0.00005216835,0.09982101,0.002024588,0.0004096593,0.0008703929,0.0002080479,0.0000614707,0.004546464],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8870797,"threshold_uncertainty_score":0.9998584,"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."}}