{"id":"W2275130917","doi":"10.1109/jsen.2015.2495228","title":"Design and Analysis of a Low-Power Readout Circuit for CdZnTe Detectors in 0.13-$\\mu \\text{m}$ CMOS","year":2015,"lang":"en","type":"article","venue":"IEEE Sensors Journal","topic":"Advanced Semiconductor Detectors and Materials","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Redlen Technologies (Canada); University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Institute for Computing, Information and Cognitive Systems; CMC Microsystems","keywords":"Cadmium zinc telluride; CMOS; Detector; Physics; Noise (video); Amplifier; Capacitance; Electrical engineering; Optoelectronics; Electronic engineering; Engineering; Computer science; Electrode","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002176799,0.0005426893,0.0004517215,0.0003535889,0.0003890266,0.000850016,0.001459394,0.0004939615,0.002943864],"category_scores_gemma":[0.0005366924,0.0002961434,0.0003372248,0.0002446773,0.000243431,0.0007830756,0.0002691928,0.0003628145,0.0009730806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001403842,"about_ca_system_score_gemma":0.001145586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001796623,"about_ca_topic_score_gemma":0.002747097,"domain_scores_codex":[0.9996406,0.00003087299,0.00001488068,0.00008518131,0.0001866762,0.00004171761],"domain_scores_gemma":[0.9997117,0.00007140433,0.00006516746,0.00002324402,0.0001122785,0.00001621769],"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":[0.0003820598,0.0001810663,0.003107241,0.001081967,0.0001919511,0.0006022906,0.000403083,0.03350037,0.8043067,0.01195782,0.00523279,0.1390527],"study_design_scores_gemma":[0.0001323686,0.001595864,0.003707583,0.0001123248,0.0002875572,0.001314438,0.0001209062,0.2579452,0.6866292,0.001437498,0.04663447,0.00008271663],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1367801,0.001969943,0.8427599,0.0008520038,0.0002318769,0.0006772875,0.0003668362,0.004220219,0.01214186],"genre_scores_gemma":[0.7344171,0.0009232241,0.2505062,0.0004643217,0.0001169645,0.0003007989,0.0002918693,0.0002794222,0.01270004],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002943864,"threshold_uncertainty_score":0.0101856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0364492207433551,"score_gpt":0.2551764408116605,"score_spread":0.2187272200683054,"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."}}