{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001088429,0.0002951189,0.0003534042,0.0003257608,0.0003689037,0.0007385144,0.001572621,0.0006061901,0.003347797],"category_scores_gemma":[0.0001873696,0.0001743163,0.0002796236,0.0002159536,0.0002025672,0.0007744967,0.0003450691,0.0003084304,0.000561181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003249023,"about_ca_system_score_gemma":0.0003806266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005109266,"about_ca_topic_score_gemma":0.0008817708,"domain_scores_codex":[0.9998147,0.00002320836,0.00001728931,0.00004691706,0.0000703754,0.0000276323],"domain_scores_gemma":[0.9998885,0.00001572767,0.00002288744,0.00002051218,0.00004260347,0.000009819051],"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":[0.0007244539,0.0001790823,0.001372079,0.0006339146,0.0001573435,0.0008893244,0.0001907152,0.0209194,0.7581834,0.03590738,0.003380506,0.1774624],"study_design_scores_gemma":[0.0001205705,0.001408905,0.00135996,0.00008873947,0.000209825,0.002374063,0.00006244412,0.3486148,0.6006763,0.004851494,0.04015823,0.00007468638],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2343664,0.002556584,0.7194817,0.001039956,0.0006500498,0.0006101449,0.0003930766,0.004495733,0.03640631],"genre_scores_gemma":[0.8665909,0.000472351,0.1230935,0.0003920351,0.00007678336,0.0002010358,0.0001141931,0.00004268412,0.00901677],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003347797,"threshold_uncertainty_score":0.01119947,"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."}}