{"id":"W2336262137","doi":"10.2172/1213149","title":"SQUID Noise Measurements for CDMS Detectors","year":2015,"lang":"en","type":"report","venue":"","topic":"Particle Detector Development and Performance","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Noise (video); Squid; Noise floor; Detector; Amplifier; Physics; Noise generator; Noise temperature; Effective input noise temperature; Noise measurement; Acoustics; Electrical engineering; Optoelectronics; Noise figure; Optics; Computer science; Noise reduction; Engineering; Phase noise; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009608212,0.0003061639,0.0003713185,0.00008009192,0.00009415136,0.00005699895,0.0002222129,0.0001060986,0.0009193879],"category_scores_gemma":[0.00003506846,0.0002603166,0.0001851582,0.0001053395,0.00002108715,0.0001043495,0.00005504835,0.0001495152,0.0002140635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002356206,"about_ca_system_score_gemma":0.001486596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002394336,"about_ca_topic_score_gemma":0.00002803427,"domain_scores_codex":[0.9978682,0.00001344289,0.0003813872,0.0003285435,0.0009971837,0.0004112632],"domain_scores_gemma":[0.9982693,0.00002339232,0.0002012376,0.0002921539,0.001046391,0.0001675218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001399133,0.0002120522,0.2348925,0.0003060378,0.001114262,0.000001285279,0.000274512,0.00003295186,0.003732158,0.00007693527,0.6299458,0.1292716],"study_design_scores_gemma":[0.00107069,0.00007177886,0.00289275,0.00008576332,0.0001397522,9.39239e-7,0.00003818224,0.0001998294,0.04420783,0.0003502732,0.9501432,0.0007989669],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1918545,0.0003205196,0.002979798,0.00003341306,0.004540913,0.001476133,0.0002596333,0.0001749821,0.7983602],"genre_scores_gemma":[0.9752165,0.000008166857,0.0008551205,0.00001468816,0.001789713,0.0003332203,0.0002596805,0.00006962425,0.02145329],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.783362,"threshold_uncertainty_score":0.9999939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1458863951149859,"score_gpt":0.3350893498565438,"score_spread":0.189202954741558,"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."}}