{"id":"W2912133757","doi":"10.1109/mdat.2019.2899058","title":"Compact Modeling of Thin-Film Transistors for Flexible Hybrid IoT Design","year":2019,"lang":"en","type":"article","venue":"IEEE Design and Test","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Thin-film transistor; Transistor; Electronics; Transistor model; Spice; Wearable technology; Computer science; Internet of Things; Printed electronics; Electrical engineering; Wearable computer; Materials science; Engineering; Embedded system; Nanotechnology; Voltage","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001945994,0.0001501804,0.0002664994,0.0000566196,0.00003931482,0.00002042326,0.00007379986,0.00004401483,0.0000132831],"category_scores_gemma":[0.00004065608,0.0001433568,0.00004274462,0.00004931931,0.00001886824,0.00007469767,0.000002003619,0.00005029793,0.000006394156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001731057,"about_ca_system_score_gemma":0.00001226573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001511909,"about_ca_topic_score_gemma":3.734523e-7,"domain_scores_codex":[0.9993413,0.00002180029,0.0002143204,0.0001458231,0.00007006605,0.0002066742],"domain_scores_gemma":[0.9992695,0.0004741553,0.00002855073,0.0001342273,0.00003284119,0.00006076338],"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":[0.00002756208,0.00001031676,0.00001626662,0.0000948325,0.00001286717,8.132139e-7,0.00006780349,0.7675588,0.2318341,0.00006167172,0.0001808182,0.0001342425],"study_design_scores_gemma":[0.0003401551,0.00009451921,0.00001106518,0.00004616343,0.00001484429,0.000005682679,0.00000992994,0.7181702,0.2804142,0.0006309163,0.0001252356,0.000137129],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2368794,0.0001399707,0.7618293,0.000004995485,0.0002983489,0.0002436849,0.00001793498,0.0002147508,0.0003715883],"genre_scores_gemma":[0.9724436,0.0000283418,0.02724588,0.00001548497,0.00004942006,0.000007746151,0.000004041925,0.00004364851,0.0001617926],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7355642,"threshold_uncertainty_score":0.5845922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04187747087933463,"score_gpt":0.2350906857524926,"score_spread":0.193213214873158,"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."}}