{"id":"W2914300376","doi":"10.1145/3297280.3297555","title":"Graphical program transformations for embedded systems","year":2019,"lang":"en","type":"article","venue":"","topic":"Embedded Systems Design Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Engineering and Physical Sciences Research Council","keywords":"Dataflow; Computer science; Field-programmable gate array; Programming language; Computer architecture; Program transformation; Transformation (genetics); Embedded system","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":[0.0006442865,0.001091231,0.0004215944,0.0008606481,0.000284684,0.001185064,0.0009292973,0.0004668643,0.01261612],"category_scores_gemma":[0.002694014,0.0003654698,0.0009930317,0.0008429543,0.0008984575,0.001156504,0.001247975,0.001916342,0.003621274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004655398,"about_ca_system_score_gemma":0.0005955799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007462679,"about_ca_topic_score_gemma":0.0006746353,"domain_scores_codex":[0.9989297,0.0002801281,0.00008657572,0.0001969901,0.0004239375,0.00008267512],"domain_scores_gemma":[0.9991165,0.0004497051,0.00008135922,0.0001762414,0.0001474482,0.00002881453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00033342,0.0001337622,0.0004852176,0.0009986544,0.0001043159,0.0005914856,0.0005133656,0.06313372,0.04436767,0.4098985,0.03471531,0.4447246],"study_design_scores_gemma":[0.0001701172,0.0001711053,0.0003055557,0.0002195971,0.00007651484,0.000670366,0.00006822442,0.2153089,0.07794233,0.3472153,0.3577858,0.0000661778],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001609914,0.0001555027,0.9810275,0.0001136907,0.00005552004,0.00007124803,0.0003404578,0.01209532,0.004530915],"genre_scores_gemma":[0.1381896,0.001251326,0.8328183,0.0005318005,0.0001314569,0.0008261799,0.00288744,0.00861293,0.01475096],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01261612,"threshold_uncertainty_score":0.04220515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01557872829048877,"score_gpt":0.2836696032199532,"score_spread":0.2680908749294644,"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."}}