{"id":"W2903313869","doi":"10.1109/tmtt.2018.2883601","title":"A Novel Low-Temperature Superconductor Power Limiter","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Microwave Theory and Techniques","topic":"Electromagnetic Compatibility and Noise Suppression","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Limiter; Materials science; Superconductivity; Electrical engineering; Power (physics); High-temperature superconductivity; Optoelectronics; Condensed matter physics; Electronic engineering; Engineering physics; Physics; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"bench_or_experimental","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"bench_or_experimental","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002036864,0.0001917512,0.0001507074,0.0001148214,0.0001448245,0.00003734361,0.00009556278,0.0001669141,0.0004684381],"category_scores_gemma":[0.000002963159,0.0001694463,0.00006394244,0.0001182369,0.0001704178,0.0001409312,0.000001414362,0.0003227202,0.00001823209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002395732,"about_ca_system_score_gemma":0.000009418773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002515673,"about_ca_topic_score_gemma":0.00001613328,"domain_scores_codex":[0.9992972,0.00005722263,0.000153685,0.0002200406,0.00006770853,0.0002041283],"domain_scores_gemma":[0.9995214,0.00009612457,0.00000991906,0.00026148,0.00004515033,0.00006597248],"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":[0.0001019035,0.00008194134,4.506089e-7,0.00002724274,0.00002241878,0.000001294675,0.000509985,0.000002463209,0.9915447,0.000385781,0.0002377669,0.007084054],"study_design_scores_gemma":[0.0001514175,0.0003691231,0.00001021802,0.00009739725,0.00001888851,0.00003858102,0.00004225041,0.0000154654,0.9963024,0.001980236,0.0007694973,0.0002045526],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9826855,0.0001257258,0.01452931,0.00003387376,0.000203852,0.0001977431,0.0000303006,0.0006003927,0.001593327],"genre_scores_gemma":[0.9969811,0.00007657434,0.002330838,0.000162168,0.00005740114,0.0000279503,0.000002004849,0.00003222294,0.0003297664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0142956,"threshold_uncertainty_score":0.6909819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006545908378286218,"score_gpt":0.2139692881899399,"score_spread":0.2074233798116537,"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."}}