{"id":"W2148158702","doi":"","title":"Asynchronous front-end asic for X-ray medical imaging applications implemented in CMOS 0.18μm technology","year":2008,"lang":"en","type":"article","venue":"Infoscience (Ecole Polytechnique Fédérale de Lausanne)","topic":"Particle Detector Development and Performance","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Alberta","keywords":"Application-specific integrated circuit; CMOS; Multiplexer; Computer science; Asynchronous communication; Chip; Dissipation; Front and back ends; Detector; Electrical engineering; Modular design; Channel (broadcasting); Electronic engineering; Computer hardware; Multiplexing; Physics; Engineering; Telecommunications","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005538837,0.0002303165,0.0002708362,0.0003694291,0.0003954819,0.0000392815,0.0007148535,0.0001121792,0.0005649817],"category_scores_gemma":[0.00003905938,0.0002457892,0.00007948468,0.0007911206,0.0003711258,0.0003774074,0.000152385,0.0003257799,0.00006157504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001435361,"about_ca_system_score_gemma":0.0005842282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001845737,"about_ca_topic_score_gemma":0.0001194803,"domain_scores_codex":[0.9978261,0.00002821277,0.0005097069,0.0004418704,0.000306682,0.0008874254],"domain_scores_gemma":[0.9990939,0.00008346519,0.0001567064,0.0003847931,0.00008301056,0.0001980811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003561375,0.0003584557,0.8336328,0.00002671867,0.00002118574,0.00001905025,0.0005010148,0.00008748312,0.01294768,0.008266019,0.001799331,0.1423047],"study_design_scores_gemma":[0.006279574,0.000555916,0.1885753,0.0004243763,0.0000547295,0.0001827159,0.001217531,0.1685745,0.4507356,0.01946327,0.1609227,0.00301389],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5305492,0.0001074475,0.4633784,0.001056454,0.0001188764,0.001537807,0.0000826144,0.0003309288,0.002838244],"genre_scores_gemma":[0.9818169,0.00001927403,0.01481859,0.0002504039,0.0001423676,0.002758795,0.00003526861,0.00002326732,0.0001350827],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6450574,"threshold_uncertainty_score":0.9999995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01018290008320547,"score_gpt":0.2721401872099715,"score_spread":0.261957287126766,"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."}}