{"id":"W2626962294","doi":"10.1109/jeds.2017.2706199","title":"Effect of Charge Retention of Non-Volatile Memory TFTs Under Multiple Read Cycles","year":2017,"lang":"en","type":"article","venue":"IEEE Journal of the Electron Devices Society","topic":"Thin-Film Transistor Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Non-volatile memory; Materials science; Optoelectronics; Data retention; Trapping; Thin-film transistor; Charge (physics); Transistor; Dielectric; Amorphous solid; Retention time; Silicon; Layer (electronics); Electrical engineering; Nanotechnology; Physics; Chemistry; Voltage; 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":[0.000296744,0.000272595,0.0002848991,0.0002543511,0.0002175575,0.0004019409,0.0003669089,0.0005130429,0.001533295],"category_scores_gemma":[0.001200426,0.0001274728,0.0001752594,0.0002162981,0.000198336,0.0008049592,0.0001653312,0.0003206554,0.0002202407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002367804,"about_ca_system_score_gemma":0.0001557123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006591197,"about_ca_topic_score_gemma":0.0009644644,"domain_scores_codex":[0.999762,0.00001708294,0.0000232699,0.00006328962,0.0000566264,0.00007772717],"domain_scores_gemma":[0.999131,0.0003710441,0.0001227748,0.00008772677,0.0001981714,0.00008924791],"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":[0.0007593448,0.00007857316,0.002137922,0.0001031235,0.00004089366,0.0004182473,0.0001636839,0.001031319,0.9810591,0.0000712561,0.0001164593,0.01401992],"study_design_scores_gemma":[0.00001250145,0.0009349167,0.005539595,0.00001216592,0.00006150798,0.0002302605,0.000106384,0.002509931,0.9901854,0.00002327301,0.0003728629,0.00001124837],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981476,0.0008480236,0.0004844815,0.00003011025,0.0000241713,0.000004835615,0.00008761477,0.00003866425,0.0003344933],"genre_scores_gemma":[0.999391,0.0001361237,0.0001189017,0.00001772698,0.00000582858,0.000003914261,0.00005407204,0.000007258837,0.0002652303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001533295,"threshold_uncertainty_score":0.005129397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009649205972055921,"score_gpt":0.2454908791237361,"score_spread":0.2358416731516801,"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."}}