{"id":"W2955467592","doi":"10.1145/3295500.3356180","title":"Etalumis","year":2019,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Lawrence Berkeley National Laboratory; Multidisciplinary University Research Initiative; Office of Science; Engineering and Physical Sciences Research Council; Defense Advanced Research Projects Agency; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; National Energy Research Scientific Computing Center; U.S. Department of Energy; National Science Foundation","keywords":"Scalability; Probabilistic logic; Supercomputer; Inference; Bayesian inference; Rewriting; Frame (networking); Protocol (science)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001122664,0.001132555,0.0007313908,0.001566027,0.001614106,0.004055174,0.001957723,0.001760148,0.2686017],"category_scores_gemma":[0.004194095,0.0003666112,0.0007591148,0.001206889,0.001087353,0.003000826,0.003424619,0.002059362,0.1201123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001674125,"about_ca_system_score_gemma":0.001751225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002417419,"about_ca_topic_score_gemma":0.001973375,"domain_scores_codex":[0.9988323,0.0002167754,0.00007652113,0.0003599406,0.0003492343,0.0001652384],"domain_scores_gemma":[0.9988433,0.0002347986,0.0001090636,0.0003048606,0.0003140598,0.000193776],"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":[0.001065802,0.0001565448,0.003452727,0.001074659,0.00008754884,0.001496586,0.0007238032,0.003701901,0.00670669,0.2140485,0.2534541,0.5140311],"study_design_scores_gemma":[0.00005353501,0.00005138807,0.0006265517,0.0001841791,0.00002118873,0.0004910824,0.0001573935,0.002229756,0.002763601,0.03186188,0.9615346,0.00002484699],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01896442,0.005996475,0.08135514,0.009321841,0.008475747,0.0003357732,0.012298,0.01999767,0.8432549],"genre_scores_gemma":[0.2508466,0.005966985,0.06102937,0.00476178,0.002053328,0.0006510074,0.01940145,0.008209547,0.6470798],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2686017,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008954138399730721,"score_gpt":0.2342671677115079,"score_spread":0.2253130293117772,"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."}}