{"id":"W2319909015","doi":"10.1149/1.3481238","title":"(Invited) Nanocrystalline Silicon Thin Film Transistors","year":2010,"lang":"en","type":"article","venue":"ECS Transactions","topic":"Thin-Film Transistor Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"IGNIS Innovation (Canada)","funders":"Engineering and Physical Sciences Research Council; Natural Sciences and Engineering Research Council of Canada; Royal Society","keywords":"Thin-film transistor; Materials science; Oxide thin-film transistor; Optoelectronics; Gate dielectric; Nanocrystalline silicon; Amorphous silicon; Gate oxide; Crystallinity; Silicon; Amorphous solid; Dielectric; Nanocrystalline material; Silicon nitride; Transistor; Active layer; High-κ dielectric; Layer (electronics); Nanotechnology; Electrical engineering; Crystalline silicon; Crystallography; Composite material; Chemistry","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":[0.0004949557,0.0009314336,0.0006099895,0.0007224928,0.0004153845,0.001035999,0.000854508,0.001787985,0.02139783],"category_scores_gemma":[0.0005673424,0.0002202932,0.0004103557,0.0007175475,0.0002808652,0.001403358,0.0006106563,0.001310322,0.02023556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000594752,"about_ca_system_score_gemma":0.0003614613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001146385,"about_ca_topic_score_gemma":0.00385732,"domain_scores_codex":[0.9997048,0.00002125407,0.00001991922,0.00008527465,0.0001164091,0.00005228383],"domain_scores_gemma":[0.9996159,0.00005358677,0.00002268894,0.00001275221,0.0002109314,0.00008412712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001765062,0.00008033548,0.0005266935,0.001622196,0.00004132757,0.0003476857,0.00006932329,0.0003741552,0.01012375,0.001854987,0.7141113,0.2706717],"study_design_scores_gemma":[0.00001025483,0.00005926356,0.0006113045,0.0001037527,0.00002220811,0.0002911299,0.00003486714,0.0001378495,0.001919173,0.0006273209,0.9961725,0.00001042087],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.007064543,0.5812937,0.005868344,0.0351771,0.2769373,0.0002257403,0.001073495,0.0004941208,0.0918656],"genre_scores_gemma":[0.02294415,0.3477888,0.004579728,0.02678994,0.1214902,0.0002466866,0.001435987,0.0001926619,0.4745318],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02139783,"threshold_uncertainty_score":0.07158285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006486653435084777,"score_gpt":0.1882542633701071,"score_spread":0.1817676099350223,"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."}}