{"id":"W2132955238","doi":"10.1109/dtis.2008.4540205","title":"Design of a transmission gate based CMOS / molecular (CMOL) memory cell","year":2008,"lang":"en","type":"article","venue":"","topic":"Semiconductor materials and devices","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Nanodevice; CMOS; Memory cell; Static random-access memory; Electronic engineering; Computer science; Transmission gate; Transmission (telecommunications); Voltage; Logic gate; Electrical engineering; Materials science; Engineering; Transistor; Nanotechnology; Telecommunications","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":[0.00006796668,0.00014475,0.0002279583,0.0001509724,0.000226629,0.000487119,0.001167443,0.0003832468,0.001295866],"category_scores_gemma":[0.0001034078,0.0001112242,0.0001485701,0.0001722738,0.0001644179,0.000278848,0.0002260704,0.0001966038,0.0003783503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002704193,"about_ca_system_score_gemma":0.0003501412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007760312,"about_ca_topic_score_gemma":0.0008735612,"domain_scores_codex":[0.9999374,0.000005135485,0.000005432156,0.00001623757,0.00002427235,0.00001146279],"domain_scores_gemma":[0.9999254,0.00000880911,0.00001580793,0.000006542705,0.00003326931,0.00001019851],"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":[0.0002274354,0.00007530526,0.001100405,0.0003381647,0.00005971989,0.000581216,0.0001253915,0.02296176,0.9046842,0.01033111,0.001989107,0.05752609],"study_design_scores_gemma":[0.0001261058,0.001103507,0.001294476,0.00003309932,0.0001638283,0.001393727,0.00007723734,0.2788118,0.6820633,0.0008891341,0.03397813,0.00006561021],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4202981,0.002237603,0.5562677,0.0007457183,0.0003769324,0.0004088398,0.0007024847,0.00195519,0.01700735],"genre_scores_gemma":[0.874694,0.0005592788,0.1198191,0.0002223204,0.0000511613,0.0001604382,0.0001707945,0.00003680964,0.004286121],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001295866,"threshold_uncertainty_score":0.004335105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01696007467051316,"score_gpt":0.1857520152868408,"score_spread":0.1687919406163277,"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."}}