{"id":"W1984970986","doi":"10.1889/1.3069760","title":"46.3: High Performance Active Matrix Electrophoretic Display Controller","year":2008,"lang":"en","type":"article","venue":"SID Symposium Digest of Technical Papers","topic":"Electrowetting and Microfluidic Technologies","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Richmond Hospital","funders":"","keywords":"Controller (irrigation); Computer science; Active matrix; Matrix (chemical analysis); Computer hardware; Embedded system; Materials science; 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":[0.0003909861,0.0005324391,0.0004050836,0.0005410822,0.0003242117,0.001195333,0.001041844,0.0007634884,0.02270704],"category_scores_gemma":[0.0007102326,0.000254924,0.0002002715,0.0002943038,0.0001951271,0.0005202973,0.0003449265,0.0006184584,0.008731531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004756949,"about_ca_system_score_gemma":0.0004277978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009088537,"about_ca_topic_score_gemma":0.0007858419,"domain_scores_codex":[0.999397,0.00004336082,0.00003616732,0.00009567484,0.00036216,0.00006549287],"domain_scores_gemma":[0.9995556,0.00009895027,0.0000382348,0.00005363809,0.0002024151,0.00005101891],"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":[0.0004672193,0.00009872386,0.0005974891,0.0001786286,0.00002810629,0.0006959692,0.0001623517,0.00124684,0.8784503,0.005343096,0.03259738,0.08013386],"study_design_scores_gemma":[0.00008356469,0.0002245932,0.001873387,0.00002069144,0.00003194815,0.001389794,0.00001925472,0.01978209,0.8417001,0.0004105834,0.1343976,0.00006643337],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2018501,0.002645058,0.5863774,0.001833079,0.002200424,0.0009853138,0.004203348,0.06488927,0.135016],"genre_scores_gemma":[0.6884932,0.0008552462,0.1646446,0.0009304545,0.0003808046,0.000513171,0.002404878,0.00158012,0.1401974],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02270704,"threshold_uncertainty_score":0.07596266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003248581687337727,"score_gpt":0.1859598286271211,"score_spread":0.1827112469397834,"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."}}