{"id":"W2030001276","doi":"10.1116/1.2194930","title":"Numerical study on the scaling of a-Si:H thin film transistors","year":2006,"lang":"en","type":"article","venue":"Journal of Vacuum Science & Technology A Vacuum Surfaces and Films","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":"Thin-film transistor; Threshold voltage; Subthreshold conduction; Materials science; Subthreshold slope; Scaling; Optoelectronics; Transistor; Amorphous silicon; Drain-induced barrier lowering; Channel (broadcasting); Voltage; Silicon; Reverse short-channel effect; Channel length modulation; Amorphous solid; Current (fluid); Electrical engineering; Nanotechnology; Layer (electronics); Crystalline silicon; Engineering; Crystallography; Chemistry; Geometry","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":[0.0003810849,0.0002644307,0.0002707496,0.0003045924,0.0003234057,0.0004823687,0.0003974184,0.0007854357,0.002620733],"category_scores_gemma":[0.003390492,0.0001566954,0.0002706721,0.0002833304,0.0004335534,0.0006116553,0.0002317406,0.0003563895,0.000118075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00051626,"about_ca_system_score_gemma":0.0004625516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005033481,"about_ca_topic_score_gemma":0.0032454,"domain_scores_codex":[0.9999139,0.00002386246,0.000004099978,0.00001105329,0.0000303738,0.00001671355],"domain_scores_gemma":[0.9987047,0.001001935,0.0001007607,0.00004213805,0.0001148764,0.00003557602],"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":[0.00004227267,0.00004711295,0.002320943,0.0001291651,0.00002602978,0.000185973,0.0000629885,0.9719874,0.008528685,0.01203461,0.000445993,0.00418887],"study_design_scores_gemma":[0.000004101205,0.000007483497,0.0002374993,0.000005218418,0.000003287861,0.000008718868,0.000007242824,0.9983844,0.0005333488,0.0006538494,0.0001529797,0.000001980016],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8637541,0.00194517,0.0948486,0.001512941,0.0001654778,0.00008344099,0.0004633028,0.0003367804,0.03689016],"genre_scores_gemma":[0.9855587,0.0004370098,0.01167365,0.00007603686,0.0000308066,0.00004129616,0.0000859326,0.00003789317,0.002058622],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005033481,"threshold_uncertainty_score":0.01000839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01013553655275031,"score_gpt":0.2190704966634665,"score_spread":0.2089349601107162,"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."}}