{"id":"W2108787423","doi":"10.1109/smelec.2002.1217766","title":"a-Si:H back-plane electronics for medical imaging and OLED displays","year":2004,"lang":"en","type":"article","venue":"","topic":"Thin-Film Transistor Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo","keywords":"Active matrix; OLED; AMOLED; Thin-film transistor; Pixel; Materials science; Optoelectronics; Flat panel display; Backplane; Active layer; Electronic circuit; Threshold voltage; Transistor; Amorphous silicon; Integrated circuit; Computer science; Silicon; Voltage; Electrical engineering; Layer (electronics); Engineering; Crystalline silicon; Artificial intelligence; Nanotechnology","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":[0.0001931038,0.0003149309,0.0001217802,0.0002489689,0.0002460406,0.0006411634,0.000303,0.0006317974,0.004016082],"category_scores_gemma":[0.0003066679,0.0001621393,0.000180874,0.000229888,0.0001628968,0.0004296743,0.0001569928,0.0003160959,0.001596604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002440531,"about_ca_system_score_gemma":0.0002465975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002712899,"about_ca_topic_score_gemma":0.0007469271,"domain_scores_codex":[0.9999129,0.00001221022,0.000005765179,0.00001377164,0.00004901168,0.000006484691],"domain_scores_gemma":[0.9998316,0.0000902333,0.00002002105,0.00001394449,0.00003173888,0.00001251875],"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":[0.0001042912,0.00006577515,0.001640425,0.00077397,0.00003193447,0.0004719911,0.00006828297,0.001000147,0.7959039,0.01202833,0.005923356,0.1819876],"study_design_scores_gemma":[0.00004970106,0.001324553,0.006217101,0.000197299,0.00007364397,0.005824057,0.0001638091,0.01543289,0.687645,0.005352103,0.277669,0.00005094687],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2486457,0.09880645,0.5055917,0.004599234,0.001910222,0.0007505194,0.001872958,0.003501573,0.1343216],"genre_scores_gemma":[0.5224121,0.05667409,0.3745468,0.001549461,0.0009126425,0.0002036196,0.001023763,0.0001927734,0.04248474],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004016082,"threshold_uncertainty_score":0.01343513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003677403303618417,"score_gpt":0.1970581791775214,"score_spread":0.193380775873903,"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."}}