{"id":"W2211438871","doi":"10.1557/proc-715-a4.2","title":"Amorphous Silicon Active Pixel Sensor Readout Circuit Architectures for Medical Imaging","year":2002,"lang":"en","type":"article","venue":"MRS Proceedings","topic":"CCD and CMOS Imaging Sensors","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Sunnybrook Health Science Centre; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Materials science; Pixel; Thin-film transistor; Transistor; Optoelectronics; Image sensor; Amorphous silicon; Noise (video); Metastability; Silicon; Electrical engineering; Layer (electronics); Computer science; Nanotechnology; Artificial intelligence; Voltage; Crystalline silicon; Image (mathematics); Physics; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001255275,0.0002802575,0.0002719304,0.0001554445,0.0001194901,0.00009322526,0.0002421016,0.0001031131,0.0002115452],"category_scores_gemma":[0.0002494912,0.0002760394,0.0001222676,0.0001896511,0.0001049398,0.00008309714,0.00003162572,0.0003612518,0.0000692125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009062934,"about_ca_system_score_gemma":0.000008560584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001158244,"about_ca_topic_score_gemma":0.000002361576,"domain_scores_codex":[0.9984516,0.000003575807,0.0002614291,0.0003505816,0.0003615458,0.0005713048],"domain_scores_gemma":[0.999456,0.00008472824,0.00004399895,0.000114234,0.00008854923,0.0002124347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001109492,0.0002485616,0.00714368,0.00128803,0.0003699478,0.00009538246,0.02400667,0.0008176961,0.2336407,0.001523768,0.1020506,0.6287041],"study_design_scores_gemma":[0.004251564,0.0001562281,0.005411579,0.000627728,0.0002295965,0.00125201,0.003315808,0.694428,0.1260281,0.003813619,0.1578264,0.002659383],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9713773,0.000369139,0.0007263119,0.00109016,0.0003886209,0.0003985923,0.00002214369,0.001270582,0.02435718],"genre_scores_gemma":[0.9978795,0.00002541036,0.0003660445,0.0004295653,0.0005176499,0.00005814388,0.000003487614,0.00010489,0.000615314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6936103,"threshold_uncertainty_score":0.9999692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01043932611603987,"score_gpt":0.2111759646081441,"score_spread":0.2007366384921042,"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."}}