{"id":"W2115980065","doi":"10.1889/1.3499951","title":"P‐38: Unique Electrical Measurement Technology for Compensation, Inspection, and Process Diagnostics of AMOLED HDTV","year":2010,"lang":"en","type":"article","venue":"SID Symposium Digest of Technical Papers","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"IGNIS Innovation (Canada)","funders":"","keywords":"AMOLED; Backplane; Compensation (psychology); OLED; Thin-film transistor; Mura; Process (computing); High-definition television; Computer science; Factory (object-oriented programming); Materials science; Electrical engineering; Computer hardware; Liquid-crystal display; Engineering; Optoelectronics; Telecommunications; Active matrix; Nanotechnology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005138881,0.0004160842,0.0003816234,0.0008472493,0.0004795621,0.0005926173,0.0009132356,0.0007008283,0.003662577],"category_scores_gemma":[0.0009365228,0.0003616223,0.0002046292,0.0004891556,0.0006893316,0.001023975,0.0006859024,0.0008557951,0.001375968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006349322,"about_ca_system_score_gemma":0.0004860261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004232753,"about_ca_topic_score_gemma":0.0006299261,"domain_scores_codex":[0.9990151,0.00007913914,0.00003688182,0.0002092289,0.000593978,0.00006553824],"domain_scores_gemma":[0.9994741,0.00007644072,0.00009359257,0.000105921,0.0001936893,0.00005622915],"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":[0.0001122856,0.00003316675,0.001120974,0.0001459464,0.00001864283,0.0003183203,0.0001560289,0.0003073685,0.9214543,0.003605773,0.003163321,0.069564],"study_design_scores_gemma":[0.00002804944,0.0002992588,0.002837661,0.00002516878,0.00002991462,0.003133585,0.00004251676,0.005515314,0.9496953,0.0007797328,0.03757093,0.00004255489],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3454663,0.005305891,0.5854136,0.002443895,0.001004365,0.0003688906,0.001127672,0.007998923,0.05087043],"genre_scores_gemma":[0.8098016,0.0007433878,0.172841,0.0003613054,0.0001772191,0.0001192916,0.0002054518,0.0001978046,0.01555297],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003662577,"threshold_uncertainty_score":0.01225257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008361492299219864,"score_gpt":0.2272362526533627,"score_spread":0.2188747603541429,"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."}}