{"id":"W3048458458","doi":"10.1145/3386569.3392486","title":"NASOQ","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Innovative Research Group Project of the National Natural Science Foundation of China","keywords":"Computer science; Solver; Scalability; Benchmark (surveying); Quadratic programming; General-purpose computing on graphics processing units; Algorithm; Set (abstract data type); Graphics; Mathematical optimization; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00007331314,0.00009568161,0.00008886676,0.00009920832,0.0001787593,0.00007248765,0.0009003568,0.00005840102,0.00001453583],"category_scores_gemma":[0.00002724882,0.00009549875,0.00008379151,0.00078439,0.00002863992,0.0001759369,0.00001266115,0.0002124845,0.00004457726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007049463,"about_ca_system_score_gemma":0.00002546547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003717928,"about_ca_topic_score_gemma":0.000001078161,"domain_scores_codex":[0.9992648,0.0000371376,0.0001310909,0.0002600841,0.0001684122,0.0001384569],"domain_scores_gemma":[0.999222,0.00007761928,0.00003193204,0.0005082908,0.00005181141,0.0001083491],"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":[0.00008061015,0.0009135664,0.000426334,0.0000971214,0.0002583962,0.00006836248,0.006307256,0.1414202,0.001027617,0.3423807,0.02820124,0.4788185],"study_design_scores_gemma":[0.0008356738,0.0008207003,0.0005196251,0.0000418974,0.00002627995,0.00002326639,0.00003442682,0.8745318,0.01943737,0.04490999,0.05798066,0.0008382889],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0002592365,0.00002788331,0.9850306,0.01269314,0.0001034493,0.00006975079,0.00000187464,0.001076361,0.0007377157],"genre_scores_gemma":[0.6825738,0.0001064361,0.3098205,0.007412986,0.00002402662,0.000009826465,0.000001079014,0.000008926704,0.0000424477],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7331116,"threshold_uncertainty_score":0.3894326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.034560357211684,"score_gpt":0.2599070710811662,"score_spread":0.2253467138694822,"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."}}