{"id":"W2740329344","doi":"10.1063/1.4997641","title":"Tuning a 3D microwave cavity via superfluid helium at millikelvin temperatures","year":2017,"lang":"en","type":"article","venue":"Applied Physics Letters","topic":"Quantum, superfluid, helium dynamics","field":"Physics and Astronomy","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microwave; Microwave cavity; Superfluid helium-4; Dielectric; Superconductivity; Cryogenics; Resonance (particle physics)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0001767398,0.0006148432,0.0005581185,0.00005551477,0.001466317,0.0004092331,0.0008052594,0.0001009992,0.0001202405],"category_scores_gemma":[0.000004541868,0.0006450012,0.0002769697,0.0001116254,0.0003904559,0.0003486596,0.0005908335,0.0006193205,0.0004831046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000158534,"about_ca_system_score_gemma":0.00005956293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008309541,"about_ca_topic_score_gemma":0.00003142753,"domain_scores_codex":[0.9974168,0.00005077194,0.000398909,0.0008398177,0.0004062209,0.0008875135],"domain_scores_gemma":[0.9976768,0.00009557035,0.0002401495,0.001697979,0.00006909574,0.0002203727],"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":[0.00004307106,0.000106135,0.01572795,0.00003066634,0.0001648324,0.00001347798,0.000571202,0.000191275,0.966507,0.009357478,0.004225199,0.003061751],"study_design_scores_gemma":[0.00515191,0.0001002682,0.01602122,0.0001773393,0.0004740254,0.00002088147,0.0003835106,0.008556334,0.9454241,0.006619885,0.01265344,0.004417039],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9763473,0.00003883465,0.016602,0.0008034174,0.0005156481,0.000465812,0.0001434181,0.0001012104,0.004982309],"genre_scores_gemma":[0.9943929,0.000004808567,0.001679468,0.001624248,0.001542521,0.0001063331,0.0003169118,0.0001353078,0.0001974412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02108281,"threshold_uncertainty_score":0.9998336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008475865726041894,"score_gpt":0.2205794184888253,"score_spread":0.2121035527627834,"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."}}