{"id":"W2106275841","doi":"10.1109/ccece.1997.614811","title":"The design and analysis of a pipeline stage for use in a multistage analog-to-digital conversion","year":2002,"lang":"en","type":"article","venue":"","topic":"Analog and Mixed-Signal Circuit Design","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"University of Victoria","keywords":"Pipeline (software); Computer science; Architecture; Data conversion; Reduction (mathematics); Parallel computing; Computer hardware; Computer architecture; Electronic engineering; Embedded system; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001860273,0.0004375408,0.0002291363,0.0002840198,0.0002816442,0.0005436868,0.0008001411,0.0004514038,0.003492947],"category_scores_gemma":[0.0003937696,0.0002720973,0.0003419573,0.0003604246,0.0002241852,0.0008326045,0.0001456458,0.0003115058,0.0007221816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005335247,"about_ca_system_score_gemma":0.0008631648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001626412,"about_ca_topic_score_gemma":0.002180869,"domain_scores_codex":[0.9998745,0.00001253167,0.00000551203,0.0000231651,0.00006569742,0.00001871118],"domain_scores_gemma":[0.9998518,0.00003531943,0.00002243625,0.00002230285,0.00005833574,0.00000984378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003345328,0.0001379906,0.00179942,0.0008167325,0.00009149507,0.0005881684,0.0001818821,0.07249162,0.6941998,0.04292566,0.003381582,0.1830511],"study_design_scores_gemma":[0.0000957029,0.001931823,0.003037426,0.00009498196,0.0001892203,0.001283446,0.00004981501,0.6422311,0.2929779,0.00912072,0.04891041,0.00007744147],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05412591,0.00102282,0.9311645,0.0002311246,0.00009418495,0.0002944682,0.000260246,0.001362973,0.01144374],"genre_scores_gemma":[0.6662051,0.001147793,0.3234018,0.00008910575,0.00004922651,0.0001782505,0.000313432,0.00008210075,0.008533216],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003492947,"threshold_uncertainty_score":0.01168507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03625647300061163,"score_gpt":0.2214518780239481,"score_spread":0.1851954050233365,"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."}}