{"id":"W2162973193","doi":"10.1109/5.964447","title":"Advances and future challenges in binary translation and optimization","year":2001,"lang":"en","type":"article","venue":"Proceedings of the IEEE","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University at Buffalo; McGill University","keywords":"Binary translation; Computer science; Interoperability; Emulation; Binary number; Software engineering; Software; Translation (biology); Convergence (economics); Distributed computing; Programming language; World Wide Web; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009795538,0.0008880795,0.001173997,0.001761138,0.001404985,0.004826747,0.002227861,0.002776584,0.006655195],"category_scores_gemma":[0.01432716,0.0006131162,0.00099225,0.00336533,0.004792963,0.01116754,0.002749173,0.003387386,0.002645015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001329747,"about_ca_system_score_gemma":0.001528047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008188577,"about_ca_topic_score_gemma":0.0007577951,"domain_scores_codex":[0.9952512,0.001630548,0.0003657408,0.0004956079,0.001900473,0.0003565118],"domain_scores_gemma":[0.9855907,0.008978727,0.0006665024,0.001954686,0.002484678,0.0003246807],"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":[0.0001406626,0.000117414,0.0008914287,0.001042921,0.00003048638,0.0001260825,0.0004672835,0.01014784,0.002072538,0.428198,0.01578086,0.5409846],"study_design_scores_gemma":[0.00005018818,0.0001640119,0.0008669735,0.0003979325,0.00002848643,0.0005860768,0.0005988802,0.05804837,0.003474382,0.7021894,0.2335039,0.00009138906],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.02727961,0.1461745,0.6722485,0.07208109,0.002518333,0.00009281965,0.0001179876,0.002642717,0.07684447],"genre_scores_gemma":[0.2350629,0.1134831,0.6089901,0.00705139,0.007325512,0.0002451013,0.0003533076,0.00151492,0.02597377],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.009795538,"threshold_uncertainty_score":0.05180436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02550679499206617,"score_gpt":0.2474690850434445,"score_spread":0.2219622900513783,"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."}}