{"id":"W2144960669","doi":"10.1109/mwscas.2001.986295","title":"Versatile current-mode loser-take-all circuits for analog decoders","year":2002,"lang":"en","type":"article","venue":"","topic":"Analog and Mixed-Signal Circuit Design","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"CMOS; Current mirror; Modular design; Electronic circuit; Current (fluid); Computer science; Electronic engineering; Analogue electronics; Power (physics); Mode (computer interface); Voltage; Electrical engineering; Field-programmable analog array; Computer hardware; Engineering; Transistor; Analog signal; Physics; Analog multiplier; Digital signal processing","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":[0.0002611741,0.0004057511,0.0002191353,0.0003216137,0.0003466073,0.000632192,0.001149247,0.0003958366,0.003808393],"category_scores_gemma":[0.0007435601,0.0001969657,0.0002032569,0.0002580556,0.0004126653,0.001162971,0.0005093514,0.0005338358,0.0007488507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002660349,"about_ca_system_score_gemma":0.0001712765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009826325,"about_ca_topic_score_gemma":0.0004271564,"domain_scores_codex":[0.999806,0.00003268863,0.00001358727,0.00003705666,0.00008807382,0.00002260756],"domain_scores_gemma":[0.9997323,0.0001017302,0.00005356245,0.00003813019,0.00005736556,0.00001695496],"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":[0.0003215877,0.00007893189,0.0005757945,0.0002596829,0.00002782795,0.0002814136,0.0002924193,0.006217893,0.5544208,0.1132641,0.002537456,0.321722],"study_design_scores_gemma":[0.0001299668,0.001197444,0.0009741776,0.00007734944,0.0001049172,0.002601773,0.0001466721,0.1166068,0.7462292,0.06121568,0.07063195,0.00008410635],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05462376,0.0007868049,0.9309782,0.0002783897,0.0001053448,0.0001175902,0.00007260954,0.001461186,0.01157604],"genre_scores_gemma":[0.5259688,0.0004191539,0.4637792,0.0002996128,0.00008762923,0.0001083723,0.00008490522,0.0001367744,0.009115531],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003808393,"threshold_uncertainty_score":0.01274031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05043393115277946,"score_gpt":0.2552882223833917,"score_spread":0.2048542912306122,"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."}}