{"id":"W4249681596","doi":"10.1145/2980024.2872395","title":"LDX","year":2016,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Security and Verification in Computing","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Defense Advanced Research Projects Agency","keywords":"Computer science; Overhead (engineering); Compiler; Causality (physics); Determinism; Event (particle physics); Scheme (mathematics); Inference; Real-time computing; Distributed computing; Programming language; Artificial intelligence","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":[0.0003476566,0.0002684543,0.0002453951,0.0002305335,0.000235772,0.0002164431,0.003852388,0.00009817696,0.00004528476],"category_scores_gemma":[0.0001893766,0.0001800402,0.0001524247,0.0004866522,0.0001108416,0.0003177306,0.001768213,0.0002713756,0.0003041897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005789234,"about_ca_system_score_gemma":0.00009958944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000205958,"about_ca_topic_score_gemma":0.00001213524,"domain_scores_codex":[0.9975178,0.0002171569,0.0003739484,0.0008284527,0.0004724118,0.000590211],"domain_scores_gemma":[0.9961134,0.00117915,0.0001210159,0.002241882,0.0001089588,0.0002356304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000694009,0.00004381314,0.0006457744,0.000009919101,0.00002231174,0.00001650252,0.00108103,0.0001274564,0.0019851,0.03082592,0.006446755,0.9587885],"study_design_scores_gemma":[0.00233322,0.0005703567,0.01223769,0.0002738567,0.00001285258,0.000416551,0.00001198523,0.02305071,0.01052483,0.2583118,0.690796,0.00146014],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01074596,0.00007137332,0.9633856,0.02280564,0.001063949,0.0002047932,0.000002301342,0.0006448597,0.001075547],"genre_scores_gemma":[0.4382271,0.00001997548,0.5564812,0.003772299,0.00126496,0.00002200471,0.000002004875,0.00002384472,0.0001866474],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9573283,"threshold_uncertainty_score":0.7341827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01919613821621041,"score_gpt":0.2528426151650577,"score_spread":0.2336464769488473,"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."}}