{"id":"W2168192781","doi":"10.1109/icecs.2008.4674897","title":"A new systolic array algorithm for a high throughput low cost VLSI implementation of DCT","year":2008,"lang":"en","type":"article","venue":"","topic":"Digital Filter Design and Implementation","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Very-large-scale integration; Discrete cosine transform; Computer science; Systolic array; Throughput; Algorithm; Parallel computing; Modular design; Computer hardware; Embedded system; Image (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":[0.00009861364,0.0001205139,0.0001658774,0.00009207588,0.00007613526,0.00007925765,0.0003528645,0.00002468862,0.00007847384],"category_scores_gemma":[0.000005078377,0.0001098225,0.00007056232,0.0002745094,0.00002594016,0.001082213,0.0000474892,0.00002531412,0.00002441656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004962828,"about_ca_system_score_gemma":0.0001778025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009063255,"about_ca_topic_score_gemma":0.00005713055,"domain_scores_codex":[0.9988727,0.00002023356,0.0003459643,0.0002699704,0.000245791,0.0002453605],"domain_scores_gemma":[0.9993533,0.00005648372,0.0001339299,0.0002686526,0.0001038745,0.00008379355],"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":[0.000004354352,0.00004813639,0.000147664,0.00002638798,0.00003220712,0.000002308118,0.001170165,0.000003490585,0.002546288,0.04873933,0.02215763,0.925122],"study_design_scores_gemma":[0.008818903,0.001748144,0.01044476,0.00006822144,0.00005348027,0.0001694213,0.001162692,0.01565637,0.9253832,0.02139286,0.01412022,0.0009816941],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002156489,0.00001070358,0.9955173,0.0003561108,0.0002255404,0.0007407289,0.00003225373,0.0000872195,0.0008736211],"genre_scores_gemma":[0.3774112,0.00001049991,0.6208966,0.0004368901,0.00009139536,0.00007602417,0.00006665244,0.00001146552,0.0009993154],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9241403,"threshold_uncertainty_score":0.447843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03622200507630743,"score_gpt":0.3050992956979456,"score_spread":0.2688772906216382,"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."}}