{"id":"W1892667420","doi":"10.1063/1.4737629","title":"Frequency multiplexed superconducting quantum interference device readout of large bolometer arrays for cosmic microwave background measurements","year":2012,"lang":"en","type":"article","venue":"Review of Scientific Instruments","topic":"Superconducting and THz Device Technology","field":"Physics and Astronomy","cited_by":135,"is_retracted":false,"has_abstract":true,"ca_institutions":"D-Wave Systems (Canada); McGill University","funders":"Lawrence Berkeley National Laboratory; Natural Sciences and Engineering Research Council of Canada; National Institute of Standards and Technology; Canada Research Chairs; McGill University; U.S. Department of Energy; National Science Foundation","keywords":"Bolometer; Transition edge sensor; Detector; Physics; Multiplexing; Optoelectronics; Microwave; Cosmic microwave background; Optics; Electrical engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000745686,0.0003558979,0.0004293867,0.001143257,0.0002670463,0.0006806121,0.0008632672,0.0004182639,0.001457659],"category_scores_gemma":[0.001015031,0.000318783,0.0001860662,0.001199245,0.0003996268,0.0007357214,0.0003274244,0.0004781448,0.0005369909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008450022,"about_ca_system_score_gemma":0.0002515861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003826069,"about_ca_topic_score_gemma":0.00121402,"domain_scores_codex":[0.9993702,0.0001378821,0.00002732978,0.0001007909,0.0003386789,0.0000251871],"domain_scores_gemma":[0.9995081,0.0001262899,0.00007559922,0.0000689096,0.0001920268,0.00002909414],"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":[0.0002917267,0.0001230103,0.004210548,0.0003843322,0.00009423435,0.0001732597,0.0001155854,0.003791543,0.7328671,0.01117943,0.003304791,0.2434645],"study_design_scores_gemma":[0.00008160141,0.0007147996,0.01421976,0.00008382479,0.0001487277,0.0007560099,0.00008270871,0.06154491,0.8436769,0.004540348,0.07403252,0.0001180214],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3255134,0.03509551,0.6126786,0.001065867,0.001122071,0.0004076493,0.0009570856,0.00423572,0.01892406],"genre_scores_gemma":[0.576238,0.007591499,0.4082763,0.0003315157,0.0005235722,0.0002353497,0.0005754649,0.0001371577,0.00609114],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001457659,"threshold_uncertainty_score":0.006130934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1024656511646085,"score_gpt":0.3300327008089928,"score_spread":0.2275670496443843,"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."}}