{"id":"W2540963032","doi":"10.1109/icm-02.2002.1161504","title":"Minimizing the number of phases in clocked digital designs derived using modulo scheduling techniques","year":2004,"lang":"en","type":"article","venue":"","topic":"Embedded Systems Design Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Polytechnique Montréal","funders":"","keywords":"Computer science; Modulo; Software pipelining; Scheduling (production processes); Integer programming; Integer (computer science); Parallel computing; Digital electronics; Benchmark (surveying); Processor scheduling; Schedule; Algorithm; Software; Electronic circuit; Mathematical optimization; Mathematics; Discrete mathematics","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":[0.000505162,0.0002014542,0.0002903791,0.000165782,0.00008683824,0.0002087438,0.001023658,0.0001061498,0.000005280149],"category_scores_gemma":[0.0001103978,0.0001496819,0.00009597789,0.0006486765,0.0001093451,0.001077415,0.0002593618,0.0001638131,0.000003829196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001441674,"about_ca_system_score_gemma":0.0001504499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002963165,"about_ca_topic_score_gemma":0.00001225135,"domain_scores_codex":[0.9983499,0.00008851584,0.0005547257,0.0003660493,0.0003094246,0.0003313921],"domain_scores_gemma":[0.9988003,0.0001770405,0.0002003832,0.0006537039,0.0001179459,0.00005067092],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002436307,0.0004174036,0.005329515,0.00007911067,0.0000538299,0.00007565961,0.004043391,0.002090544,0.8911043,0.07623327,0.00004382031,0.02050479],"study_design_scores_gemma":[0.0002934712,0.00004784342,0.00007213211,0.0003148453,0.000004705094,0.0001095456,0.0002792729,0.0166897,0.9613571,0.02055083,0.00001898562,0.0002616363],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3023138,0.00004021374,0.6950978,0.00008352742,0.00003374047,0.0003210151,7.933727e-7,0.0003970218,0.00171212],"genre_scores_gemma":[0.5663753,0.000003345366,0.433512,0.00005174652,0.00001808024,0.00001813426,3.292733e-7,0.00001071458,0.00001026922],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.2640615,"threshold_uncertainty_score":0.6103851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05607865582689189,"score_gpt":0.3192225650999051,"score_spread":0.2631439092730132,"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."}}