{"id":"W2549903643","doi":"10.1109/hldvt.2016.7748249","title":"Accelerating assertion assessment using GPUs","year":2016,"lang":"en","type":"article","venue":"","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; McGill University; CMC Microsystems (Canada)","funders":"","keywords":"Assertion; Correctness; Computer science; Parallelism (grammar); Key (lock); Programming language; Formal verification; Parallel computing; Theoretical computer science; Operating 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":[0.001191194,0.0006633975,0.0005255124,0.000633535,0.0003521234,0.0009466062,0.001978444,0.0007308351,0.006060356],"category_scores_gemma":[0.007735,0.0004047486,0.0006040262,0.0005129265,0.0008865847,0.001936494,0.001237442,0.001347404,0.00104501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000819825,"about_ca_system_score_gemma":0.001127402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004040157,"about_ca_topic_score_gemma":0.005546329,"domain_scores_codex":[0.9984621,0.0005086833,0.0000829252,0.0002434571,0.00056454,0.0001383184],"domain_scores_gemma":[0.9942209,0.00307316,0.0003560908,0.001466107,0.0007541505,0.0001296674],"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":[0.001471076,0.0003266756,0.0153469,0.0005367403,0.0002114723,0.0007564434,0.0007031921,0.2643443,0.1241108,0.08024891,0.009768987,0.5021744],"study_design_scores_gemma":[0.0000506282,0.0001297524,0.0006914379,0.00002479745,0.00003280544,0.0001352619,0.0000513042,0.9462909,0.02803614,0.01883596,0.005704496,0.00001658515],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1067624,0.0003057334,0.8747839,0.0003991559,0.0001547718,0.00008858562,0.0001285198,0.0105084,0.006868512],"genre_scores_gemma":[0.6102594,0.0001192553,0.386137,0.0001778667,0.00002333079,0.00009026637,0.0001922339,0.0004741255,0.002526505],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006060356,"threshold_uncertainty_score":0.02027392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07412440821616174,"score_gpt":0.3391528525172591,"score_spread":0.2650284443010973,"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."}}