{"id":"W4249623003","doi":"10.1145/2490301.2451118","title":"GPUDet","year":2013,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Parallel computing; Debugging; Scalability; Nondeterministic algorithm; Thread (computing); Compiler; Multi-core processor; Massively parallel; Correctness; Graphics; Programming language; Operating system; Theoretical computer science","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":[0.0005280058,0.0009735219,0.0006328877,0.0006936478,0.0006948338,0.002150753,0.002407593,0.001265076,0.09432103],"category_scores_gemma":[0.001791605,0.0006196718,0.0006497224,0.0008984905,0.0004427953,0.001719765,0.00214612,0.001790112,0.04493617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001239656,"about_ca_system_score_gemma":0.001370443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003418962,"about_ca_topic_score_gemma":0.005516037,"domain_scores_codex":[0.9993198,0.00008490438,0.00003933923,0.0001553215,0.0003047164,0.00009589992],"domain_scores_gemma":[0.9990597,0.00009756911,0.00004605179,0.0003427145,0.0003648217,0.00008913581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007860796,0.0001586616,0.003793723,0.00050797,0.0001047429,0.0004043521,0.00024126,0.01270479,0.02348613,0.09219724,0.5481181,0.317497],"study_design_scores_gemma":[0.0001374237,0.0001444478,0.0009391097,0.00005394358,0.00002498246,0.0004017796,0.00003892828,0.05413234,0.01753532,0.01036743,0.9161721,0.00005220947],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.02492557,0.002354774,0.3366473,0.002403702,0.002356826,0.0006341798,0.01190069,0.1747971,0.4439798],"genre_scores_gemma":[0.2398915,0.001956025,0.349202,0.003455621,0.0004279093,0.0008664367,0.03969775,0.02105577,0.343447],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.09432103,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01180817367756907,"score_gpt":0.2422485740343317,"score_spread":0.2304404003567627,"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."}}