{"id":"W2131901019","doi":"10.1109/tvlsi.2004.827594","title":"Pel reconstruction on FPGA-augmented TriMedia","year":2004,"lang":"en","type":"article","venue":"IEEE Transactions on Very Large Scale Integration (VLSI) Systems","topic":"Advancements in PLL and VCO Technologies","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Field-programmable gate array; Computer science; Control reconfiguration; Context (archaeology); Decoding methods; Parallel computing; Reconfigurable computing; Inverse; Computer architecture; Embedded system; Computer hardware; Algorithm; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001403366,0.0003539619,0.0002646622,0.0004035617,0.0001599914,0.0004866692,0.0007751394,0.0002490038,0.004228065],"category_scores_gemma":[0.0004449087,0.0001661899,0.0002354077,0.0002840639,0.0001904338,0.0004908663,0.0004282958,0.0003823439,0.0009410411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000311761,"about_ca_system_score_gemma":0.000244917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006183747,"about_ca_topic_score_gemma":0.001210758,"domain_scores_codex":[0.999798,0.00004007458,0.00001022651,0.00004440868,0.00007383234,0.00003355476],"domain_scores_gemma":[0.9997482,0.00007417616,0.000027327,0.00007874655,0.00005477028,0.00001681854],"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":[0.003256205,0.0001680539,0.003300193,0.0004313082,0.0001157171,0.001847575,0.0001811727,0.06121733,0.4111175,0.006370071,0.005288585,0.5067063],"study_design_scores_gemma":[0.0002098717,0.002284323,0.005995132,0.0001083678,0.0001292309,0.002571905,0.000160086,0.4020662,0.5408123,0.001261177,0.04432384,0.00007762469],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5526267,0.00142583,0.4047197,0.0001975564,0.0002038485,0.0001658091,0.0002968126,0.008235541,0.0321282],"genre_scores_gemma":[0.793503,0.0002592139,0.1983794,0.0002398551,0.00003329053,0.00005361061,0.0004049299,0.0001361798,0.006990516],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004228065,"threshold_uncertainty_score":0.01414424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01180354349267937,"score_gpt":0.2264630975808761,"score_spread":0.2146595540881968,"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."}}