{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008371387,0.0002911923,0.0004441417,0.0001316797,0.0001211594,0.000008482305,0.0004018469,0.0002891514,0.0000174836],"category_scores_gemma":[0.00004664602,0.0002582241,0.0001346478,0.0003191939,0.0003525719,0.00008966657,0.0000588831,0.0005150505,0.00002759654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001843052,"about_ca_system_score_gemma":0.00003864364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001486486,"about_ca_topic_score_gemma":0.000002044816,"domain_scores_codex":[0.9985197,0.00001715085,0.0003757785,0.0002863388,0.0002409368,0.0005600563],"domain_scores_gemma":[0.9993334,0.0001040762,0.00007138138,0.0003735747,0.00004466645,0.00007287121],"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":[0.00006704801,0.0000431815,0.0005091999,0.00004720744,0.00005198693,0.000009907018,0.00003544359,0.0003489879,0.9971714,0.000742771,0.0006812109,0.0002916799],"study_design_scores_gemma":[0.0006372605,0.0004207182,0.008902886,0.00005687327,0.0000396496,0.000104625,0.00001782904,0.00001853878,0.9862701,0.00002714829,0.003165572,0.0003387605],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9433021,0.001182326,0.000008316495,0.0003177093,0.0001149538,0.0002622996,0.00001486706,0.001521879,0.05327554],"genre_scores_gemma":[0.9945327,0.0048941,0.00009034337,0.00003013643,0.00004364,0.00005996451,0.000009723591,0.0000579908,0.0002813795],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05299416,"threshold_uncertainty_score":0.999987,"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."}}