{"id":"W4240107341","doi":"10.1109/dac.2002.1012645","title":"Retargetable binary utilities","year":2002,"lang":"en","type":"article","venue":"Proceedings 2002 Design Automation Conference (IEEE Cat. No.02CH37324)","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Software; Software engineering; Downstream (manufacturing); Set (abstract data type); Retargeting; Architecture; Interface (matter); Programming language; Operating system; Engineering","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008653999,0.0004931201,0.0004773292,0.0004927784,0.0005149997,0.001028245,0.001610068,0.0002679879,0.0008064145],"category_scores_gemma":[0.0003643938,0.0005058557,0.0001219711,0.001055082,0.0001464927,0.002500162,0.0001921229,0.0002991634,0.001590036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001605501,"about_ca_system_score_gemma":0.0001388839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001884625,"about_ca_topic_score_gemma":3.280061e-7,"domain_scores_codex":[0.9966905,0.00009650726,0.0007637526,0.0009490003,0.0007163805,0.0007839256],"domain_scores_gemma":[0.9971432,0.0001600448,0.0004930862,0.0005106397,0.001436345,0.0002566638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003902029,0.0007545515,0.0006639446,0.0005138257,0.0001436642,0.00003006019,0.01016896,0.005976122,0.04604244,0.07678824,0.8233114,0.03556774],"study_design_scores_gemma":[0.0003272932,0.0002036695,0.0001548829,0.0001271218,0.00001443911,0.00003333718,0.00005057103,0.9790401,0.01224635,0.002393255,0.004810744,0.0005982749],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003601477,0.0001707372,0.9537406,0.001041193,0.0006319701,0.0006847566,0.000004406646,0.004100639,0.03602425],"genre_scores_gemma":[0.3258483,0.0003906907,0.6591696,0.0005814088,0.0001937072,0.0001762047,0.000006746544,0.0000458195,0.01358751],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9730639,"threshold_uncertainty_score":0.9997393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0625527907229308,"score_gpt":0.2449277789363456,"score_spread":0.1823749882134148,"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."}}