{"id":"W2726518598","doi":"","title":"Improving GNU compiler collection infrastructure for streamization","year":2008,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Computer science; Compiler; Programming language; Operating system","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002406692,0.002134503,0.001603927,0.003248924,0.001437569,0.002743287,0.0035418,0.001017251,0.02778225],"category_scores_gemma":[0.01080087,0.001519397,0.001577891,0.003787555,0.0007897828,0.003233571,0.002532023,0.002734967,0.01593886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001877776,"about_ca_system_score_gemma":0.004550579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00867089,"about_ca_topic_score_gemma":0.01018493,"domain_scores_codex":[0.997116,0.0005529554,0.0002696712,0.0005937165,0.001018912,0.0004486959],"domain_scores_gemma":[0.9926258,0.001101775,0.0002575677,0.00251448,0.003186144,0.0003142163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002681187,0.0006375404,0.007486973,0.0008006835,0.0003439284,0.0004787851,0.0007213069,0.0200767,0.06205188,0.01100546,0.3192919,0.5744236],"study_design_scores_gemma":[0.001664087,0.0005596237,0.007176576,0.0002729237,0.0004047146,0.0004588329,0.0003640668,0.3969018,0.3196495,0.01758315,0.2546566,0.00030824],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"software","genre_gemma":"methods","genre_scores_codex":[0.0369004,0.0008017356,0.2841198,0.0006980352,0.001022127,0.0004873927,0.004590488,0.6567195,0.01466049],"genre_scores_gemma":[0.2654854,0.0009195263,0.545348,0.001402494,0.000637999,0.0009906852,0.03283816,0.1255084,0.02686934],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02778225,"threshold_uncertainty_score":0.09294093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01095272352400215,"score_gpt":0.2254853600258472,"score_spread":0.2145326365018451,"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."}}