{"id":"W3215954123","doi":"10.1007/s10909-022-02729-5","title":"In-Flight Gain Monitoring of SPIDER’s Transition-Edge Sensor Arrays","year":2022,"lang":"en","type":"article","venue":"Journal of Low Temperature Physics","topic":"Superconducting and THz Device Technology","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Institute for Theoretical Astrophysics; University of Toronto; McGill University; University of British Columbia","funders":"Science and Technology Facilities Council; National Aeronautics and Space Administration","keywords":"Transition edge sensor; Spider; Physics; Responsivity; Cosmic microwave background; Bandwidth (computing); Microwave; Estimator; Detector; Remote sensing; Optics; Computer science; Astronomy; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001080793,0.0002046331,0.0001488102,0.0001778335,0.0001813961,0.0002981832,0.0003482186,0.0004256322,0.001348208],"category_scores_gemma":[0.0002147221,0.0001101013,0.00008210044,0.0001585921,0.0001831614,0.0003910306,0.0002055473,0.0002190808,0.0002154764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002639634,"about_ca_system_score_gemma":0.0001321575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006910366,"about_ca_topic_score_gemma":0.002111754,"domain_scores_codex":[0.9998918,0.00001238215,0.000002225104,0.00003000181,0.00004139586,0.00002218389],"domain_scores_gemma":[0.9998043,0.00004706917,0.00004370388,0.00001799887,0.00006517363,0.0000216484],"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":[0.0002346177,0.00004588422,0.003068726,0.00002822505,0.00001081762,0.00008450893,0.0001121808,0.0002751219,0.9906515,0.0001671964,0.0003333992,0.004987789],"study_design_scores_gemma":[0.00001260548,0.0002487048,0.01675953,0.000006276262,0.00001679214,0.0002999002,0.0001673342,0.01125288,0.969395,0.0001199987,0.001707995,0.00001303428],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937511,0.0001369566,0.003296518,0.00009344163,0.00002034308,0.000007788612,0.0001689064,0.0001079376,0.002416908],"genre_scores_gemma":[0.9963418,0.00004809895,0.002352812,0.00003918779,0.000005087385,0.000004268629,0.00006088841,0.00001004387,0.001137802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001348208,"threshold_uncertainty_score":0.004510164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01242081489312809,"score_gpt":0.2501075336612493,"score_spread":0.2376867187681212,"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."}}