{"id":"W1998922872","doi":"10.1109/fpl.2013.6645553","title":"TILT: A multithreaded VLIW soft processor family","year":2013,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Very long instruction word; Thread (computing); Parallel computing; Field-programmable gate array; Compiler; Stratix; Latency (audio); Scheduling (production processes); Computer architecture; Embedded system; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001311551,0.0001104576,0.0001128973,0.00007755403,0.00008859482,0.0002355204,0.0007563078,0.00005389792,0.00004143339],"category_scores_gemma":[0.00005401926,0.00008856371,0.0000311862,0.0003203653,0.00002416011,0.0004528993,0.0001860664,0.00007819936,0.000529049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000136587,"about_ca_system_score_gemma":0.00004475142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002500393,"about_ca_topic_score_gemma":0.000004826873,"domain_scores_codex":[0.9991121,0.0000328836,0.0001728589,0.0002940733,0.0001648455,0.0002231997],"domain_scores_gemma":[0.9992279,0.00005796726,0.00005587136,0.0003791446,0.0001990547,0.00008006631],"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":[0.00001314716,0.0007388187,0.008597078,0.0000968245,0.00007863041,0.0000132938,0.003032484,0.009217256,0.005648813,0.05631499,0.5267879,0.3894608],"study_design_scores_gemma":[0.0002055566,0.00004913551,0.01057207,0.00001295664,0.000001140839,0.000004316128,0.00001107969,0.9796467,0.003318652,0.003841261,0.002101088,0.0002360556],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004186555,0.0000517251,0.9793891,0.0004955062,0.00007199837,0.0002152411,2.914979e-7,0.001394203,0.01419534],"genre_scores_gemma":[0.4726484,0.000006739208,0.5226066,0.001362312,0.00002145973,0.00004512637,0.000001985654,0.000007326355,0.003300147],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9704294,"threshold_uncertainty_score":0.6800032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0186175670049989,"score_gpt":0.2460762391062148,"score_spread":0.2274586721012159,"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."}}