{"id":"W4401420094","doi":"10.1103/physrevapplied.22.024025","title":"Kinetic inductance parametric converter","year":2024,"lang":"en","type":"article","venue":"Physical Review Applied","topic":"Sensor Technology and Measurement Systems","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Stewart Blusson Quantum Matter Institute, University of British Columbia; Canada First Research Excellence Fund; Natural Sciences and Engineering Research Council of Canada; University of British Columbia; Canada Foundation for Innovation","keywords":"Kinetic energy; Parametric statistics; Inductance; Kinetic inductance; Physics; Mathematics; Classical mechanics; Voltage; Statistics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000187789,0.0001349474,0.0002846604,0.00007057282,0.00003025437,0.00005057997,0.0005539834,0.00003438882,0.00001282601],"category_scores_gemma":[0.00003760803,0.0001012929,0.00008775746,0.001133347,0.00004220832,0.00009239207,0.00003302745,0.0002145876,0.001767934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002686692,"about_ca_system_score_gemma":0.00002360107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001407011,"about_ca_topic_score_gemma":1.158696e-7,"domain_scores_codex":[0.9989068,0.00002906865,0.0001795639,0.0004126009,0.0002590703,0.0002128957],"domain_scores_gemma":[0.9992526,0.00009842744,0.00003572091,0.0005367572,0.00002217561,0.00005433499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[5.405452e-7,0.00004449959,0.000005707041,0.0008809151,0.00002238154,0.000008773519,0.00003236092,2.258365e-7,0.01672636,0.8686363,0.004546481,0.1090954],"study_design_scores_gemma":[0.0006171797,0.0001799025,0.0009491347,0.006132075,0.0002382931,0.000084665,0.000009909602,0.02122838,0.0625021,0.2965176,0.610096,0.001444794],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03675184,0.3663968,0.4344727,0.0143345,0.003537799,0.004594147,0.000004997141,0.006045853,0.1338614],"genre_scores_gemma":[0.9959755,0.001626032,0.0008259765,0.001267835,0.0001072146,0.0001345303,9.087144e-7,0.000008835507,0.00005314854],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9592237,"threshold_uncertainty_score":0.9990093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03130239415611399,"score_gpt":0.2887949261105747,"score_spread":0.2574925319544606,"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."}}