{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002982581,0.00007467913,0.00007073353,0.00005868126,0.0001087034,0.0001356778,0.0003337622,0.00003213063,0.00001652874],"category_scores_gemma":[0.0001178218,0.00004601604,0.00002642492,0.0001457326,0.00001145606,0.0004764229,0.0001557146,0.00003967547,0.00001129123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007565566,"about_ca_system_score_gemma":0.00005609135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005693657,"about_ca_topic_score_gemma":0.000001498705,"domain_scores_codex":[0.9992756,0.0000359502,0.0001334533,0.0002235662,0.0001613237,0.0001701638],"domain_scores_gemma":[0.9993088,0.0001888203,0.00005405999,0.000342041,0.00006384835,0.00004240399],"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":[0.00000133692,0.00007383983,0.06546112,0.000008874146,0.00001224418,0.00001528601,0.00009143192,0.00001455255,0.09928645,0.08204514,0.007332486,0.7456572],"study_design_scores_gemma":[0.000744663,0.0002728915,0.0538638,0.0004206817,0.00001116,0.0001507754,0.000006356747,0.6036208,0.07901236,0.2598516,0.001117847,0.0009270607],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.043344,0.000005411954,0.9445953,0.0005113501,0.0001370608,0.00004875732,1.138147e-7,0.008338952,0.003018996],"genre_scores_gemma":[0.5050201,5.629442e-7,0.4947426,0.0001193933,0.0000235462,0.00000322579,6.475053e-8,0.000003149575,0.00008739028],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7447302,"threshold_uncertainty_score":0.187648,"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."}}