{"id":"W3117291443","doi":"10.1109/icecs49266.2020.9294786","title":"Hybrid Memristor-CMOS Based Up-Down Counter Design","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Memristor; CMOS; Computer science; Electronic engineering; Electrical engineering; Engineering","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":[0.00004427347,0.0001156007,0.0001134788,0.00001563682,0.00004193877,0.00001457586,0.0001005015,0.00001890181,0.0004186305],"category_scores_gemma":[0.00003257892,0.0001078582,0.00003849568,0.00006192246,0.00001026714,0.00009241927,0.00001467546,0.0001272869,0.0001575678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002498989,"about_ca_system_score_gemma":0.000009799378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.447927e-7,"about_ca_topic_score_gemma":1.463453e-7,"domain_scores_codex":[0.9994678,0.00001492328,0.0001218877,0.0001390091,0.00008233806,0.0001740302],"domain_scores_gemma":[0.9996745,0.00007469782,0.00001130904,0.00009874207,0.00001423352,0.0001264949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004760229,0.000007197701,0.00001875077,0.00008711662,0.00001840578,0.00006413754,0.0001349278,0.8461609,0.1073922,0.0001006965,0.04034824,0.005619849],"study_design_scores_gemma":[0.0002561476,0.00003693006,0.000006754528,0.000008239274,0.000005251723,0.000003695487,0.00001052337,0.5550051,0.4234969,0.00004294633,0.0209668,0.0001606973],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02339215,0.00007833014,0.9710994,0.0002613557,0.0003223747,0.0001209841,0.000002243575,0.0008599182,0.003863193],"genre_scores_gemma":[0.989612,0.000002965444,0.007877306,0.002143739,0.0001450097,0.000004197157,0.000002602401,0.00002681145,0.0001854111],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9662198,"threshold_uncertainty_score":0.458371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03741005369972922,"score_gpt":0.218229060560664,"score_spread":0.1808190068609348,"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."}}